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Bucky

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com.buckybuild/buckyv1.0.1 Domain verified

Zoning, parcel, and development feasibility for a street address in Canada and the US.

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Call this server's tools from your browser. Nothing to install.

https://buckybuild.com/api/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

addSavedFolderItem

Add exactly one saved lot or project to a private folder. Pass folderId and target with savedLotId (a save id from listSaved) or projectId. Repeating the same membership is safe. Use preview=true first.

targetstring, required

contextstring, required

Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."

folderIdstring, required

llm_modelstring, required

The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

previewboolean

Use true to inspect the request without writing.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Bucky MCP server | mcptry

Bucky

Working · 1.6 s

com.buckybuild/buckyv1.0.1 Domain verified

Zoning, parcel, and development feasibility for a street address in Canada and the US.

Legal & Government

Source Website Registry entry

Maintain this server? Claim it

Try it

Call this server's tools from your browser. Nothing to install.

https://buckybuild.com/api/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

addSavedFolderItem

targetstring, required

contextstring, required

folderIdstring, required

llm_modelstring, required

previewboolean

Use true to inspect the request without writing.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Tools (24)

addSavedFolderItem

Argument	Type	Description
target*	any
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
folderId*	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "folderId",
    "target",
    "context",
    "llm_model"
  ],
  "properties": {
    "target": {
      "anyOf": [
        {
          "type": "object",
          "required": [
            "savedLotId"
          ],
          "properties": {
            "savedLotId": {
              "type": "string",
              "format": "uuid",
              "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
            }
          },
          "additionalProperties": false
        },
        {
          "type": "object",
          "required": [
            "projectId"
          ],
          "properties": {
            "projectId": {
              "type": "string",
              "format": "uuid",
              "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
            }
          },
          "additionalProperties": false
        }
      ]
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "folderId": {
      "type": "string",
      "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

cityInventory

Public city catalogue inventory. Pass exactly one of: cityName, lat and lng together, or geoDivisionId. A city name with multiple matches returns choices; after the user chooses, call again with that candidate geoDivisionId. Never pass a slug. Shows datasets grouped by topic as on file, not loaded yet, unavailable, or not confirmed. This is city coverage, not lot feasibility or operator health. If Bucky has not mapped the place, the result points to recording demand. It does not record demand by itself.

read-only

Argument	Type	Description
lat	number
lng	number
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
cityName	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

createSavedFolder

Create a named private folder. A repeated create makes another folder. Use preview=true first and listSavedFolders to check an uncertain outcome before retrying.

Argument	Type	Description
name*	string
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "name",
    "context",
    "llm_model"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

deleteSavedFolder

Delete a private folder by folderId and remove its memberships. Its lots stay saved and its projects are kept. Use preview=true first; this MCP tool does not restore deleted folders.

destructive

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
folderId*	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "folderId",
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "folderId": {
      "type": "string",
      "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

explainFeasibilityStatus

Explain one Bucky coverage or per-fact provenance status and the safe next action. This is a pure static lookup: it does not inspect an address, retrieve property data, or call a database, geocoder, AI model, or third-party API. Accepts exactly one of: live, live_unavailable, planned_not_live, geo_division_uncatalogued, unseeded_place, geocode_failed, cited, cited_conditional, conditional_unresolved, no_limit_in_bylaw, not_extracted, site_specific_schedule, unverified_default, derived_from_cited, defaulted, missing. Copy the status verbatim from a feasibility result. An unknown status returns this list instead of failing.

read-only

Argument	Type	Description
status*	string	A Bucky coverage resolution status or per-fact provenance status returned by a feasibility result. Copy it verbatim. Do not paraphrase or invent a status.
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

getBuckyMcpGuide

Call with no arguments on first contact. Optional `role`, `market`, and `scale` answer the first-call questions on a second call. Returns what this session should do next.

read-only

Argument	Type	Description
role	string	Who is asking. Answers "Developer, GC, or municipal reviewer?".
scale	string	One site or several. Answers "Single parcel, or a portfolio?".
market	string	Which country the site is in. Answers "US or Canada?".
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

getBylawSection

Return the stored bylaw section text behind a snapshot citation. Pass `sectionIds` copied from `citations.*.knowledgeSectionId` on getFeasibilitySnapshot. Or pass `geoDivisionId` from `coverage.geoDivisionId`, `zoneCode` from `zone.code`, and `sectionNumbers` such as 3.1 or 3.2. The markdown is the schedule text. A number in the snapshot can still be conditional on frontage, tenure, or adjoining district. Ids or section numbers with no active chunk come back in `missing`.

read-only

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
zoneCode	string	zone.code from getFeasibilitySnapshot, for example C-2.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
sectionIds	array	Copy citations.*.knowledgeSectionId from getFeasibilitySnapshot. 1 to 4 ids.

getFeasibilitySnapshot

Look up lot, zone, and building envelope for one street address in Canada or the US. Pass `address`. One address per call; cannot search or compare. Every envelope value carries a `status`. Never report `not_extracted` or `site_specific_schedule` as no limit or as zero — call `explainFeasibilityStatus` first. Envelope numbers are extracted ceilings. Call `getBylawSection` with a citation `knowledgeSectionId`, or with `coverage.geoDivisionId`, `zone.code`, and the section number, before treating a number as available on this lot. Do not fetch `zone.bylawSourceUrl`. `lot.minLotFrontageM` is the zone minimum. `lot.lotConformity` compares lot width, lot area, and floor area per unit to those minima. A missing input is `unknown`, never a pass. State every fail before quoting a unit count.

read-only

Argument	Type	Description
source*	string	Which question the caller is answering. Used for attribution and to pick the link back; the payload is the same either way.
address*	string	Street address to analyse, e.g. "4170 Sophia St, Vancouver BC".
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."

getProjectContext

Load one project with analysis envelope, compact agentStatus, document summaries, evidence summaries, the project memory digest, and external_ref when the project was imported from another system. Pass `include` for optional sections: tasks, members, insights, capital, visualEvidence. Default is none, so the payload stays the same as a call without include. Writes to those sections stay on the Bucky CLI. You do not need a UUID: pass `project` with the name the user said, or call with neither and the result lists their projects to choose from. Use before composing reports or after scheduling analysis.

read-only

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
include*	array	Optional extra sections. Default is none, so the payload matches a call without include. tasks, members, insights, capital, and visualEvidence each reuse the matching product read — they are not separate tools. Writes stay on the Bucky CLI.
project	string	Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.

listSaved

List the signed-in user’s saved lots and projects. Returns at most limit rows (default 50, maximum 200), with folder ids and project stages. Use folderId to read one private folder. Copy a lot entry’s id as savedLotId when filing it; lotId identifies its parcel. A saved lot is not a project.

read-only

Argument	Type	Description
limit	integer
offset	integer
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
folderId	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

listSavedFolders

List the signed-in user’s private folders, most recently used first, with item counts. Returns at most limit rows (default 50, maximum 200). Folders can contain saved lots and projects from different places.

read-only

Argument	Type	Description
limit	integer
offset	integer
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 200,
      "minimum": 1
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "maximum": 9007199254740991,
      "minimum": 0
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

previewSiteCoverage

Free preview, no sign-in needed. For one street address in Canada or the US, it says whether Bucky covers the place and which zoning facts it holds for the lot (lot boundary, zone, height, density, setbacks, permitted uses, overlays, parking): found, partly on file, or not on file. It returns no values: no zone code, heights, setbacks or areas. The lot outline is a shape with no scale. Use it when the user is not signed in and asks what they can build at an address. For the numbers, call getFeasibilitySnapshot. That call asks the user to sign in.

read-only

Argument	Type	Description
address*	string	Street address to analyse, e.g. "4170 Sophia St, Vancouver BC".
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

produceProjectReport

Compose a project report PDF. Pass `projectId` or `project`; with neither, the result lists projects and no meter is spent. preview=true composes without spending. confirm=true exports, spends records.exports, and is irreversible. Returns a signed download URL, never PDF bytes.

Argument	Type	Description
detail*	string
confirm*	boolean	When true, compose (if needed), save, export PDF, and return a download URL. Required when preview is false. Spends records.exports and cannot be undone.
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview*	boolean	When true, compose only — no export meter spend and no download URL.
project	string	Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.

removeSavedFolderItem

Remove exactly one saved lot or project from a private folder. Pass folderId and target with savedLotId or projectId. The lot stays saved and the project is kept. Use preview=true first.

Argument	Type	Description
target*	any
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
folderId*	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "folderId",
    "target",
    "context",
    "llm_model"
  ],
  "properties": {
    "target": {
      "anyOf": [
        {
          "type": "object",
          "required": [
            "savedLotId"
          ],
          "properties": {
            "savedLotId": {
              "type": "string",
              "format": "uuid",
              "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
            }
          },
          "additionalProperties": false
        },
        {
          "type": "object",
          "required": [
            "projectId"
          ],
          "properties": {
            "projectId": {
              "type": "string",
              "format": "uuid",
              "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
            }
          },
          "additionalProperties": false
        }
      ]
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "folderId": {
      "type": "string",
      "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

renameSavedFolder

Rename a private folder by folderId. Pass name and use preview=true first to inspect the request without writing.

Argument	Type	Description
name*	string
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
folderId*	string
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "name",
    "folderId",
    "context",
    "llm_model"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "folderId": {
      "type": "string",
      "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

runFeasibilityAnalysis

Enqueue a fresh deterministic analysis run for a saved project. Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is queued. Returns immediately with `agentStatus` (`queued`, `running`, `current`, `failed`, or `none`) and a receipt id; does not block on completion. Irreversible: a queued run cannot be un-queued from MCP. Re-check with `getProjectContext`, but no more than once every 15 seconds — it is a multi-query bundle, not a status endpoint.

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
project	string	Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
projectId	string

saveLot

Save one parcel by lotId without creating a project or running analysis. Saving it again keeps the same save. Use preview=true first to inspect the request without writing.

Argument	Type	Description
lotId*	string
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "lotId",
    "context",
    "llm_model"
  ],
  "properties": {
    "lotId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

saveToProject

Create a project (`create`), attach lots (`attach_parcels`), or attach a knowledge reference (`attach_reference`). Pass `projectId` or `project`; with neither, the result lists projects and writes nothing. For attach_parcels, pass a WGS84 GeoJSON polygon (up to 500 selected parcels), or copy `lot.parcelExternalId` from getFeasibilitySnapshot. Polygon cannot be combined with parcelExternalIds or radiusM. Results report source truncation and attached count. preview=true returns the diff and writes nothing. A write returns a receipt. Not reversible on this surface.

Argument	Type	Description
lat	number	Latitude from getFeasibilitySnapshot. Supplied coordinates are never re-geocoded.
lng	number	Longitude from getFeasibilitySnapshot.
name	string
role	string	build is the lot being developed; context is surrounding land. Default build.
action*	string	create: new project from a site. attach_parcels: attach lots to an existing project (use lot.parcelExternalId from getFeasibilitySnapshot). attach_reference: link a knowledge section to an existing project.
address	string	Street address of the site. On `create` this is geocoded server-side when lat/lng are not supplied, and is what gets recorded as the project address.
context*

screenLots

Find the lots in one live Bucky city that match a list. Pass `city` or `geoDivisionId` with `thesis` (plain words), `criteria` (square feet, dollars), or both; or pass a saved `profileId`. Returns countOutcome (exact, partial, or unavailable), screeningRunId, and selected lots ranked largest first with a pass, fail, or not_available verdict per filter. totalMatches is a compatibility value and can be returned-page size when the total is unavailable. Report a not_available filter; never present the count as filtered by it. The execution preserves selection for optional candidate assessment; assessment candidate counts are separate from search totals. Returns candidates, counted suggestions and savedMatches. Candidate/suggestion criteria use the same square-foot boundary as the input, including canonical registry values and strategies. Present these alternatives before asking to save. Pass the selected criteria with save=true only after explicit approval, without re-reading the thesis. Each lot has `address` for getFeasibilitySnapshot and `parcelExternalId` for saveToProject. save=true saves the list (write scope) and returns a CSV link.

Argument	Type	Description
city	string	City as the user said it, e.g. "Laval" or "Bedford, MA". Omit when you pass geoDivisionId or profileId.
save	boolean	true saves the list to the account. Default false. Search execution history is recorded.
limit	integer	Lots to return. Default 10. countOutcome states whether the total is exact, partial, or unavailable.
thesis	string	The list in plain words, e.g. "industrial lots over half an acre outside the floodplain".
context*

setProjectMapListing

Put a project on the public Bucky map, or take it off. Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is published. Listing publishes the build-lot centroid, the project name, its zone category, typology and lifecycle status to anyone — signed in or not. Nothing else about the project is published. The project must have a build lot with a centroid; a project that has only an address and no attached build parcel cannot be pinned. Ask the human before listing a site that is not already public knowledge. A client, a friend, or a private residence is theirs to publish, not yours. preview=true returns the current state, the exact pin that would be published, and any privacy warning, and writes nothing. Unlisting removes the pin but does not un-share anything already collected while it was public.

Argument	Type	Description
listed*	boolean	true lists the project on the public map; false removes it. Listing publishes the build-lot centroid and the project name to anyone, signed in or not.
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview*	boolean	When true, return the current listing state, the pin that would be published, and any privacy warning, and write nothing.

submitBuckyFeedback

Open a human-reviewed feedback form and submit it to the Bucky product team. Call only when the user explicitly asks to send feedback, report a problem, suggest an improvement, or praise something. The server asks the MCP client to show the form; nothing is saved unless the human accepts it. Do not use for silent agent self-reporting.

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
submissionId	string	Optional. A UUID for this submission; generated server-side when omitted. Pass the same UUID when retrying this exact feedback so it is not recorded twice.
affectedToolName	string	Tool the user is commenting on, when already known

Input schema (JSON)

uiGetAnalysisStatus

Return only the analysis `agentStatus` for a project. Cheap enough to poll. Used by the Bucky app view; the model should call getProjectContext instead.

read-only

Argument	Type	Description
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
projectId*	string

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "projectId",
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    }
  }
}

unsaveLot

Unsave one parcel by lotId. This also removes that saved lot from every folder. Projects are kept. Use preview=true first; this MCP tool does not provide Undo.

destructive

Argument	Type	Description
lotId*	string
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview	boolean	Use true to inspect the request without writing.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "lotId",
    "context",
    "llm_model"
  ],
  "properties": {
    "lotId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "Use true to inspect the request without writing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

updateProject

Patch project metadata (name, lifecycle status, externalRef). Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is written. preview=true returns the field-level diff and writes nothing. A write returns a receipt; undoOperationId restores the captured prior fields. Does not archive or delete.

Argument	Type	Description
name	string
context*	string	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
preview*	boolean	When true, return the field-level diff and write nothing. Combined with undoOperationId, returns the stored receipt.
project	string	Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.
llm_model*	string	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "zoneCode": {
      "type": "string",
      "maxLength": 40,
      "minLength": 1,
      "description": "zone.code from getFeasibilitySnapshot, for example C-2."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "sectionIds": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid",
        "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
      },
      "maxItems": 4,
      "minItems": 1,
      "description": "Copy citations.*.knowledgeSectionId from getFeasibilitySnapshot. 1 to 4 ids."
    },
    "geoDivisionId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "coverage.geoDivisionId from getFeasibilitySnapshot."
    },
    "sectionNumbers": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 64,
        "minLength": 1
      },
      "maxItems": 4,
      "minItems": 1,
      "description": "Section numbers to read, for example 3.1 or 3.2. 1 to 4 numbers."
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "documentsLimit",
    "evidenceLimit",
    "include",
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "include": {
      "type": "array",
      "items": {
        "enum": [
          "tasks",
          "members",
          "insights",
          "capital",
          "visualEvidence"
        ],
        "type": "string"
      },
      "default": [],
      "description": "Optional extra sections. Default is none, so the payload matches a call without include. tasks, members, insights, capital, and visualEvidence each reuse the matching product read — they are not separate tools. Writes stay on the Bucky CLI."
    },
    "project": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Project UUID. Omit if you pass `project`."
    },
    "evidenceLimit": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1
    },
    "documentsLimit": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1
    }
  }
}

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 200,
      "minimum": 1
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "maximum": 9007199254740991,
      "minimum": 0
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "folderId": {
      "type": "string",
      "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "address",
    "context",
    "llm_model"
  ],
  "properties": {
    "address": {
      "type": "string",
      "maxLength": 500,
      "minLength": 3,
      "description": "Street address to analyse, e.g. \"4170 Sophia St, Vancouver BC\"."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "audience",
    "detail",
    "preview",
    "confirm",
    "context",
    "llm_model"
  ],
  "properties": {
    "detail": {
      "enum": [
        "brief",
        "detailed"
      ],
      "type": "string",
      "default": "detailed"
    },
    "confirm": {
      "type": "boolean",
      "default": false,
      "description": "When true, compose (if needed), save, export PDF, and return a download URL. Required when preview is false. Spends records.exports and cannot be undone."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "When true, compose only — no export meter spend and no download URL."
    },
    "project": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing."
    },
    "request": {
      "type": "string",
      "maxLength": 4000,
      "minLength": 3
    },
    "audience": {
      "enum": [
        "investor",
        "owner",
        "board",
        "resident"
      ],
      "type": "string",
      "default": "owner"
    },
    "planName": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Project UUID. Omit if you pass `project`."
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "action",
    "preview",
    "context",
    "llm_model"
  ],
  "properties": {
    "lat": {
      "type": "number",
      "description": "Latitude from getFeasibilitySnapshot. Supplied coordinates are never re-geocoded."
    },
    "lng": {
      "type": "number",
      "description": "Longitude from getFeasibilitySnapshot."
    },
    "name": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1
    },
    "role": {
      "enum": [
        "build",
        "context"
      ],
      "type": "string",
      "description": "build is the lot being developed; context is surrounding land. Default build."
    },
    "action": {
      "enum": [
        "create",
        "attach_reference",
        "attach_parcels"
      ],
      "type": "string",
      "description": "create: new project from a site. attach_parcels: attach lots to an existing project (use lot.parcelExternalId from getFeasibilitySnapshot). attach_reference: link a knowledge section to an existing project."
    },
    "address": {
      "type": "string",
      "maxLength": 200,
      "minLength": 3,
      "description": "Street address of the site. On `create` this is geocoded server-side when lat/lng are not supplied, and is what gets recorded as the project address."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "polygon": {
      "type": "object",
      "required": [
        "type",
        "coordinates"
      ],
      "properties": {
        "type": {
          "type": "string",
          "const": "Polygon"
        },
        "coordinates": {
          "type": "array",
          "items": {
            "type": "array",
            "items": {
              "type": "array",
              "items": {
                "type": "number"
              },
              "maxItems": 2,
              "minItems": 2
            },
            "maxItems": 512,
            "minItems": 4
          },
          "maxItems": 128,
          "minItems": 1
        }
      },
      "description": "WGS84 GeoJSON Polygon for attach_parcels. Attach the parcels selected by the product area flow, up to 500. Interior rings exclude parcels. Use polygon instead of parcelExternalIds and radiusM. Maximum 512 coordinates.",
      "additionalProperties": false
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "When true, return the field-level diff and write nothing."
    },
    "project": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Project name to match instead of a UUID, for attach_parcels and attach_reference. Matching more than one lists the candidates instead of guessing. Ignored by create."
    },
    "radiusM": {
      "type": "integer",
      "maximum": 400,
      "minimum": 10,
      "description": "Search half-width in metres when resolving parcel ids. Default 150."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Existing project UUID. Required by attach_parcels and attach_reference unless you pass `project`; ignored by create."
    },
    "externalRef": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Provenance of an imported project. Canonical form is `<system>:<id>` (e.g. `notion:<page-id>`). Unique per creator when set. Returned on getProjectContext. Distinct from idempotencyKey."
    },
    "sectionUuid": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    },
    "idempotencyKey": {
      "type": "string",
      "maxLength": 128,
      "minLength": 8
    },
    "parcelExternalIds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 160,
        "minLength": 1
      },
      "maxItems": 20,
      "minItems": 1,
      "description": "Source parcel ids to attach. Copy lot.parcelExternalId from getFeasibilitySnapshot. If they are not in the current area, pass a larger radiusM on attach_parcels."
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "city": {
      "type": "string",
      "maxLength": 120,
      "minLength": 2,
      "description": "City as the user said it, e.g. \"Laval\" or \"Bedford, MA\". Omit when you pass geoDivisionId or profileId."
    },
    "save": {
      "type": "boolean",
      "description": "true saves the list to the account. Default false. Search execution history is recorded."
    },
    "limit": {
      "type": "integer",
      "maximum": 25,
      "minimum": 1,
      "description": "Lots to return. Default 10. countOutcome states whether the total is exact, partial, or unavailable."
    },
    "thesis": {
      "type": "string",
      "maxLength": 1500,
      "minLength": 3,
      "description": "The list in plain words, e.g. \"industrial lots over half an acre outside the floodplain\"."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "criteria": {
      "type": "object",
      "properties": {
        "street": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            }
          },
          "description": "Street names as the lot address carries them, upper case with the suffix abbreviated: \"STATE ST\", \"BANK ST\". { any_of: [...] } keeps lots on those streets. Matches the lot's address, not every street it touches: a corner lot counts once.",
          "additionalProperties": false
        },
        "stories": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "maximum": 200,
              "minimum": 0
            },
            "min": {
              "type": "number",
              "maximum": 200,
              "minimum": 0
            }
          },
          "description": "Above-grade stories: the assessor count where recorded (half stories are decimals, 1.5), otherwise estimated from building height at 3 m per storey. \"1-2 story\" is { max: 2 }.",
          "additionalProperties": false
        },
        "branches": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "key",
              "label",
              "criteria"
            ],
            "properties": {
              "key": {
                "type": "string",
                "pattern": "^[a-z][a-z0-9_]{0,39}$"
              },
              "label": {
                "type": "string",
                "maxLength": 60,
                "minLength": 1
              },
              "criteria": {
                "type": "object",
                "properties": {
                  "street": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      }
                    },
                    "description": "Street names as the lot address carries them, upper case with the suffix abbreviated: \"STATE ST\", \"BANK ST\". { any_of: [...] } keeps lots on those streets. Matches the lot's address, not every street it touches: a corner lot counts once.",
                    "additionalProperties": false
                  },
                  "overlay": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 20
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 20
                      }
                    },
                    "additionalProperties": false
                  },
                  "stories": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "maximum": 200,
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "maximum": 200,
                        "minimum": 0
                      }
                    },
                    "description": "Above-grade stories: the assessor count where recorded (half stories are decimals, 1.5), otherwise estimated from building height at 3 m per storey. \"1-2 story\" is { max: 2 }.",
                    "additionalProperties": false
                  },
                  "lot_area": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "minimum": 0
                      }
                    },
                    "additionalProperties": false
                  },
                  "typology": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      }
                    },
                    "description": "Current site use from site_typologies, not what can be built. Exact typology IDs; sector-only lots do not match.",
                    "additionalProperties": false
                  },
                  "min_homes": {
                    "type": "object",
                    "properties": {
                      "min": {
                        "type": "integer",
                        "maximum": 1000,
                        "minimum": 1
                      }
                    },
                    "additionalProperties": false
                  },
                  "zone_code": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      }
                    },
                    "additionalProperties": false
                  },
                  "named_area": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "format": "uuid",
                          "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
                        },
                        "maxItems": 200
                      }
                    },
                    "additionalProperties": false
                  },
                  "use_sector": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      }
                    },
                    "description": "Current site use from site_typologies, not what can be built. Sector IDs; includes sector-only assignments.",
                    "additionalProperties": false
                  },
                  "year_built": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "integer",
                        "maximum": 2100,
                        "minimum": 1600
                      },
                      "min": {
                        "type": "integer",
                        "maximum": 2100,
                        "minimum": 1600
                      }
                    },
                    "description": "Year the main building was built, inclusive bounds.",
                    "additionalProperties": false
                  },
                  "zone_family": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      }
                    },
                    "description": "The zone's dominant use: residential, mixed, commercial, industrial, public, recreation, agricultural, forest. \"Zoned residential or mixed\" is { any_of: [\"residential\", \"mixed\"] }. Québec zones read the zone letter (H, M, C, I, P/U, R, A, F); other zones a family classified from the zone name and purpose. The family names the dominant use; the bylaw still decides which uses are permitted.",
                    "additionalProperties": false
                  },
                  "building_use": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 20
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 20
                      }
                    },
                    "description": "What the lot is used for today, read from the assessor's use code: office, mixed_use, retail, hospitality, industrial, multifamily, two_to_four_family, single_family, institutional, civic, religious, parking, vacant_land, other. \"Commercial buildings, not houses or churches\" is { any_of: [\"office\", \"mixed_use\", \"retail\"] } or { none_of: [\"single_family\", \"two_to_four_family\", \"religious\", \"civic\"] }.",
                    "additionalProperties": false
                  },
                  "permitted_use": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 50
                      }
                    },
                    "additionalProperties": false
                  },
                  "assessed_value": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "minimum": 0
                      }
                    },
                    "additionalProperties": false
                  },
                  "ownership_form": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      }
                    },
                    "description": "Ownership form: fee_simple (land title), strata_condo, co_op, leasehold, mixed. \"Land title only\" is { none_of: [\"strata_condo\", \"co_op\", \"leasehold\", \"mixed\"] }, which keeps lots whose form is unknown; any_of drops them.",
                    "additionalProperties": false
                  },
                  "register_status": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      }
                    },
                    "description": "Historic register status: individually_listed, contributing, non_contributing, in_district (inside a register district, building not yet mapped), not_listed. \"On the register\" is { any_of: [\"individually_listed\", \"contributing\"] }. Register status is a research lead, not tax-credit eligibility. The federal 20% credit needs a certified historic structure; building age alone qualifies for nothing (the 10% pre-1936 credit was repealed in 2017).",
                    "additionalProperties": false
                  },
                  "hydrant_distance": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "maximum": 5000,
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "maximum": 5000,
                        "minimum": 0
                      }
                    },
                    "description": "Metres from the lot line to the nearest fire hydrant.",
                    "additionalProperties": false
                  },
                  "ocp_above_zoning": {
                    "type": "object",
                    "required": [
                      "is"
                    ],
                    "properties": {
                      "is": {
                        "type": "boolean"
                      }
                    },
                    "description": "true: the lot's Official Community Plan designation allows more housing than its current zone (both ranked 1 rural, 2 low density, 3 medium density, 4 high density or mixed-use centre): a rezoning candidate. { is: false } keeps lots where both are ranked and the OCP is not higher. Lots with an unranked zone or designation, no zone, or no designation match neither. A planning signal: a rezoning consistent with the OCP is more likely to be supported, but this is not a rezoning approval or the density zoning permits today.",
                    "additionalProperties": false
                  },
                  "place_of_worship": {
                    "type": "object",
                    "required": [
                      "is"
                    ],
                    "properties": {
                      "is": {
                        "type": "boolean"
                      }
                    },
                    "description": "true: a church, temple, mosque, synagogue or other place of worship is mapped on the lot (OpenStreetMap, city heritage registers). { is: false } excludes those lots. Same lots as existing_use_class place_of_worship.",
                    "additionalProperties": false
                  },
                  "exterior_material": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      }
                    },
                    "description": "The assessor's primary exterior wall as a family: masonry, wood, siding, stucco, concrete, metal, glass, other. \"Brick buildings\" is { any_of: [\"masonry\"] }.",
                    "additionalProperties": false
                  },
                  "subdivision_yield": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "minimum": 0
                      }
                    },
                    "description": "Lot area divided by the zone's minimum lot area: how many minimum-size lots the parcel could hold by area. \"Could be subdivided\" is { min: 2 }; \"into 3 lots\" is { min: 3 }. Ignores frontage, streets and lot shape: a candidate, not a subdivision approval.",
                    "additionalProperties": false
                  },
                  "titled_unit_count": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "integer",
                        "maximum": 100000,
                        "minimum": 1
                      },
                      "min": {
                        "type": "integer",
                        "maximum": 100000,
                        "minimum": 1
                      }
                    },
                    "description": "Titled units on the parcel: 1 for a land-title lot, the strata unit count otherwise.",
                    "additionalProperties": false
                  },
                  "contamination_risk": {
                    "type": "object",
                    "required": [
                      "is"
                    ],
                    "properties": {
                      "is": {
                        "type": "boolean"
                      }
                    },
                    "description": "true: a gas station or auto-service business (repair, body shop, car wash) is mapped on the lot. { is: false } excludes those lots. A risk flag from OpenStreetMap and city business licences, not a site investigation: it misses former and unmapped businesses.",
                    "additionalProperties": false
                  },
                  "existing_use_class": {
                    "type": "object",
                    "properties": {
                      "any_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      },
                      "none_of": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 256,
                          "minLength": 1
                        },
                        "maxItems": 10
                      }
                    },
                    "description": "What stands on the lot: place_of_worship (church, temple, mosque, synagogue…), fuel_station, auto_service (repair, body, car wash), auto_sales (car dealer), else vacant, surface_parking or built. \"Vacant lots or surface parking\" is { any_of: [\"vacant\", \"surface_parking\"] }; \"gas stations\" is { any_of: [\"fuel_station\"] }; \"church sites\" is { any_of: [\"place_of_worship\"] }. Vacant means no building over 20 m² in any footprint source and no assessed building worth over 20% of the land. Québec lots without footprints use the assessment roll land-use code (CUBF 9100 = vacant). A mapped business on the lot wins over the footprint class. Fuel and auto-service sites are a contamination risk flag, not a site investigation.",
                    "additionalProperties": false
                  },
                  "existing_coverage_pct": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "minimum": 0
                      }
                    },
                    "description": "Building footprint area on the lot as a percentage of lot area, 0-100. An underbuilt screen is { max: 20 }. Footprints can be years old: check the city honesty note.",
                    "additionalProperties": false
                  },
                  "improvement_land_ratio": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "minimum": 0
                      }
                    },
                    "description": "Building (improvement) value divided by land value, assessed or appraised, as a ratio: 0.25 = the building is worth a quarter of the land. A teardown screen is { max: 0.25 }.",
                    "additionalProperties": false
                  },
                  "frequent_transit_distance": {
                    "type": "object",
                    "properties": {
                      "max": {
                        "type": "number",
                        "maximum": 5000,
                        "minimum": 0
                      },
                      "min": {
                        "type": "number",
                        "maximum": 5000,
                        "minimum": 0
                      }
                    },
                    "description": "Metres from the lot line to the nearest frequent bus stop or rapid-transit station.",
                    "additionalProperties": false
                  }
                },
                "additionalProperties": false
              }
            },
            "additionalProperties": false
          },
          "maxItems": 6,
          "description": "Alternative strategies; nested registry values stay in canonical units."
        },
        "minHomes": {
          "type": "integer",
          "maximum": 1000,
          "minimum": 1,
          "description": "Homes allowed, at least N. A zone-level estimate."
        },
        "typology": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            }
          },
          "description": "Current site use from site_typologies, not what can be built. Exact typology IDs; sector-only lots do not match.",
          "additionalProperties": false
        },
        "zoneCodes": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 32,
            "minLength": 1
          },
          "maxItems": 50,
          "description": "Zone codes from the city's own vocabulary, e.g. RM-4."
        },
        "use_sector": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            }
          },
          "description": "Current site use from site_typologies, not what can be built. Sector IDs; includes sector-only assignments.",
          "additionalProperties": false
        },
        "year_built": {
          "type": "object",
          "properties": {
            "max": {
              "type": "integer",
              "maximum": 2100,
              "minimum": 1600
            },
            "min": {
              "type": "integer",
              "maximum": 2100,
              "minimum": 1600
            }
          },
          "description": "Year the main building was built, inclusive bounds.",
          "additionalProperties": false
        },
        "maxAreaSqft": {
          "type": "number",
          "minimum": 0,
          "description": "Largest lot, in square feet."
        },
        "maxAssessed": {
          "type": "number",
          "minimum": 0,
          "description": "Highest assessed total value, in dollars."
        },
        "minAreaSqft": {
          "type": "number",
          "minimum": 0,
          "description": "Smallest lot, in square feet."
        },
        "minAssessed": {
          "type": "number",
          "minimum": 0,
          "description": "Lowest assessed total value, in dollars."
        },
        "zone_family": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            }
          },
          "description": "The zone's dominant use: residential, mixed, commercial, industrial, public, recreation, agricultural, forest. \"Zoned residential or mixed\" is { any_of: [\"residential\", \"mixed\"] }. Québec zones read the zone letter (H, M, C, I, P/U, R, A, F); other zones a family classified from the zone name and purpose. The family names the dominant use; the bylaw still decides which uses are permitted.",
          "additionalProperties": false
        },
        "building_use": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 20
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 20
            }
          },
          "description": "What the lot is used for today, read from the assessor's use code: office, mixed_use, retail, hospitality, industrial, multifamily, two_to_four_family, single_family, institutional, civic, religious, parking, vacant_land, other. \"Commercial buildings, not houses or churches\" is { any_of: [\"office\", \"mixed_use\", \"retail\"] } or { none_of: [\"single_family\", \"two_to_four_family\", \"religious\", \"civic\"] }.",
          "additionalProperties": false
        },
        "namedAreaIds": {
          "type": "array",
          "items": {
            "type": "string",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
          },
          "maxItems": 200,
          "description": "Submarket (named area) ids. Use `thesis` to match submarkets by name."
        },
        "overlayKinds": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 64,
            "minLength": 1
          },
          "maxItems": 20,
          "description": "Overlay kinds a lot must overlap by at least 1 m². A kind the city has not evaluated is reported not_available, never applied."
        },
        "permitted_use": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 50
            }
          },
          "additionalProperties": false
        },
        "ownership_form": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            }
          },
          "description": "Ownership form: fee_simple (land title), strata_condo, co_op, leasehold, mixed. \"Land title only\" is { none_of: [\"strata_condo\", \"co_op\", \"leasehold\", \"mixed\"] }, which keeps lots whose form is unknown; any_of drops them.",
          "additionalProperties": false
        },
        "register_status": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            }
          },
          "description": "Historic register status: individually_listed, contributing, non_contributing, in_district (inside a register district, building not yet mapped), not_listed. \"On the register\" is { any_of: [\"individually_listed\", \"contributing\"] }. Register status is a research lead, not tax-credit eligibility. The federal 20% credit needs a certified historic structure; building age alone qualifies for nothing (the 10% pre-1936 credit was repealed in 2017).",
          "additionalProperties": false
        },
        "hydrant_distance": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "maximum": 5000,
              "minimum": 0
            },
            "min": {
              "type": "number",
              "maximum": 5000,
              "minimum": 0
            }
          },
          "description": "Metres from the lot line to the nearest fire hydrant.",
          "additionalProperties": false
        },
        "ocp_above_zoning": {
          "type": "object",
          "required": [
            "is"
          ],
          "properties": {
            "is": {
              "type": "boolean"
            }
          },
          "description": "true: the lot's Official Community Plan designation allows more housing than its current zone (both ranked 1 rural, 2 low density, 3 medium density, 4 high density or mixed-use centre): a rezoning candidate. { is: false } keeps lots where both are ranked and the OCP is not higher. Lots with an unranked zone or designation, no zone, or no designation match neither. A planning signal: a rezoning consistent with the OCP is more likely to be supported, but this is not a rezoning approval or the density zoning permits today.",
          "additionalProperties": false
        },
        "place_of_worship": {
          "type": "object",
          "required": [
            "is"
          ],
          "properties": {
            "is": {
              "type": "boolean"
            }
          },
          "description": "true: a church, temple, mosque, synagogue or other place of worship is mapped on the lot (OpenStreetMap, city heritage registers). { is: false } excludes those lots. Same lots as existing_use_class place_of_worship.",
          "additionalProperties": false
        },
        "exterior_material": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            }
          },
          "description": "The assessor's primary exterior wall as a family: masonry, wood, siding, stucco, concrete, metal, glass, other. \"Brick buildings\" is { any_of: [\"masonry\"] }.",
          "additionalProperties": false
        },
        "subdivision_yield": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "minimum": 0
            },
            "min": {
              "type": "number",
              "minimum": 0
            }
          },
          "description": "Lot area divided by the zone's minimum lot area: how many minimum-size lots the parcel could hold by area. \"Could be subdivided\" is { min: 2 }; \"into 3 lots\" is { min: 3 }. Ignores frontage, streets and lot shape: a candidate, not a subdivision approval.",
          "additionalProperties": false
        },
        "titled_unit_count": {
          "type": "object",
          "properties": {
            "max": {
              "type": "integer",
              "maximum": 100000,
              "minimum": 1
            },
            "min": {
              "type": "integer",
              "maximum": 100000,
              "minimum": 1
            }
          },
          "description": "Titled units on the parcel: 1 for a land-title lot, the strata unit count otherwise.",
          "additionalProperties": false
        },
        "contamination_risk": {
          "type": "object",
          "required": [
            "is"
          ],
          "properties": {
            "is": {
              "type": "boolean"
            }
          },
          "description": "true: a gas station or auto-service business (repair, body shop, car wash) is mapped on the lot. { is: false } excludes those lots. A risk flag from OpenStreetMap and city business licences, not a site investigation: it misses former and unmapped businesses.",
          "additionalProperties": false
        },
        "existing_use_class": {
          "type": "object",
          "properties": {
            "any_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            },
            "none_of": {
              "type": "array",
              "items": {
                "type": "string",
                "maxLength": 256,
                "minLength": 1
              },
              "maxItems": 10
            }
          },
          "description": "What stands on the lot: place_of_worship (church, temple, mosque, synagogue…), fuel_station, auto_service (repair, body, car wash), auto_sales (car dealer), else vacant, surface_parking or built. \"Vacant lots or surface parking\" is { any_of: [\"vacant\", \"surface_parking\"] }; \"gas stations\" is { any_of: [\"fuel_station\"] }; \"church sites\" is { any_of: [\"place_of_worship\"] }. Vacant means no building over 20 m² in any footprint source and no assessed building worth over 20% of the land. Québec lots without footprints use the assessment roll land-use code (CUBF 9100 = vacant). A mapped business on the lot wins over the footprint class. Fuel and auto-service sites are a contamination risk flag, not a site investigation.",
          "additionalProperties": false
        },
        "overlayExcludeKinds": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 64,
            "minLength": 1
          },
          "maxItems": 20,
          "description": "Overlay kinds a lot must not overlap. A lot passes only if it was evaluated for every excluded kind; an unevaluated kind is reported not_available."
        },
        "existing_coverage_pct": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "minimum": 0
            },
            "min": {
              "type": "number",
              "minimum": 0
            }
          },
          "description": "Building footprint area on the lot as a percentage of lot area, 0-100. An underbuilt screen is { max: 20 }. Footprints can be years old: check the city honesty note.",
          "additionalProperties": false
        },
        "improvement_land_ratio": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "minimum": 0
            },
            "min": {
              "type": "number",
              "minimum": 0
            }
          },
          "description": "Building (improvement) value divided by land value, assessed or appraised, as a ratio: 0.25 = the building is worth a quarter of the land. A teardown screen is { max: 0.25 }.",
          "additionalProperties": false
        },
        "frequent_transit_distance": {
          "type": "object",
          "properties": {
            "max": {
              "type": "number",
              "maximum": 5000,
              "minimum": 0
            },
            "min": {
              "type": "number",
              "maximum": 5000,
              "minimum": 0
            }
          },
          "description": "Metres from the lot line to the nearest frequent bus stop or rapid-transit station.",
          "additionalProperties": false
        }
      },
      "description": "Structured criteria. A field set here replaces the same field read from thesis.",
      "additionalProperties": false
    },
    "saveName": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1,
      "description": "Name for a saved list."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "profileId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Saved list id. Runs the saved city and criteria. Do not combine with city, thesis, or criteria."
    },
    "geoDivisionId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Division id, from an earlier screenLots or cityInventory result."
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "listed",
    "preview",
    "context",
    "llm_model"
  ],
  "properties": {
    "listed": {
      "type": "boolean",
      "description": "true lists the project on the public map; false removes it. Listing publishes the build-lot centroid and the project name to anyone, signed in or not."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "When true, return the current listing state, the pin that would be published, and any privacy warning, and write nothing."
    },
    "project": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Project UUID. Omit if you pass `project`."
    }
  }
}

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "submissionId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Optional. A UUID for this submission; generated server-side when omitted. Pass the same UUID when retrying this exact feedback so it is not recorded twice."
    },
    "affectedToolName": {
      "type": "string",
      "maxLength": 128,
      "minLength": 1,
      "description": "Tool the user is commenting on, when already known"
    }
  }
}

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "preview",
    "context",
    "llm_model"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "preview": {
      "type": "boolean",
      "default": false,
      "description": "When true, return the field-level diff and write nothing. Combined with undoOperationId, returns the stored receipt."
    },
    "project": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing."
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    },
    "projectId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Project UUID. Omit if you pass `project`."
    },
    "externalRef": {
      "anyOf": [
        {
          "type": "string",
          "maxLength": 200,
          "minLength": 1
        },
        {
          "type": "null"
        }
      ],
      "description": "Provenance of an imported project. Canonical form is `<system>:<id>` (e.g. `notion:<page-id>`). Unique per creator when set. Pass null to clear."
    },
    "lifecycleStatus": {
      "type": "string"
    },
    "undoOperationId": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Receipt id from a prior updateProject write. Restores the captured prior fields. With preview=true, inspects the receipt instead."
    }
  }
}