30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
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QA advisor: validate acceptance criteria quality. POST a list of AC (or a story) and get per-AC problems (vague/untestable, non-atomic, no observable outcome) + a missing-coverage flag if there is no failure-path AC, plus a 0-100 score and pass/needs_work verdict. Tells you exactly what to fix. Deterministic, no LLM.
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QA advisor: validate acceptance criteria quality. POST a list of AC (or a story) and get per-AC problems (vague/untestable, non-atomic, no observable outcome) + a missing-coverage flag if there is no failure-path AC, plus a 0-100 score and pass/needs_work verdict. Tells you exactly what to fix. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| story | string | |
| strictness | string | |
| acceptance_criteria | array |
{
"type": "object",
"properties": {
"story": {
"type": "string"
},
"strictness": {
"enum": [
"normal",
"strict"
],
"type": "string"
},
"acceptance_criteria": {
"type": "array",
"items": {
"type": "string"
}
}
}
}Run an AI system prompt (and optional agent config) through a 45-criterion alignment/safety rubric. Returns a letter grade (A-F), numeric score, per-flag remediation, and a pass/fail verdict.
| Argument | Type | Description |
|---|---|---|
| model_id | string | Optional target model identifier. |
| agent_config | object | Optional agent config (tools, memory, temperature, etc.). |
| system_prompt* | string | The system prompt text to evaluate. |
{
"type": "object",
"required": [
"system_prompt"
],
"properties": {
"model_id": {
"type": "string",
"description": "Optional target model identifier."
},
"agent_config": {
"type": "object",
"description": "Optional agent config (tools, memory, temperature, etc.)."
},
"system_prompt": {
"type": "string",
"description": "The system prompt text to evaluate."
}
}
}Look up Bureau of Land Management land status for a US coordinate: BLM ownership, jurisdiction, allowed activities (rockhounding, camping), permit requirements, and special designations (ACEC, Wilderness, WSA, NM/NCA).
| Argument | Type | Description |
|---|---|---|
| lat* | number | Latitude, -90 to 90. |
| lon* | number | Longitude, -180 to 180. |
| radius_km | number | Optional buffer radius in km (0-50, default 1.0). |
{
"type": "object",
"required": [
"lat",
"lon"
],
"properties": {
"lat": {
"type": "number",
"description": "Latitude, -90 to 90."
},
"lon": {
"type": "number",
"description": "Longitude, -180 to 180."
},
"radius_km": {
"type": "number",
"description": "Optional buffer radius in km (0-50, default 1.0)."
}
}
}Get a Stripe Checkout link to top up the credits on the API key you are calling with. Starter pack: $5 for 500 credits. Pro pack: $20 for 2500 credits. 1 credit = $0.01. Give the returned checkout_url to a human to complete payment in a browser; the credits are added to this key automatically once the payment succeeds, usually within seconds. Calling this tool does not charge anything and costs no credits.
| Argument | Type | Description |
|---|---|---|
| pack | string | Which pack to buy. Defaults to "starter" ($5 / 500 credits). "pro" is $20 / 2500 credits. |
| packs | integer | How many of that pack. Defaults to 1. |
{
"type": "object",
"properties": {
"pack": {
"enum": [
"starter",
"pro"
],
"type": "string",
"description": "Which pack to buy. Defaults to \"starter\" ($5 / 500 credits). \"pro\" is $20 / 2500 credits."
},
"packs": {
"type": "integer",
"maximum": 100,
"minimum": 1,
"description": "How many of that pack. Defaults to 1."
}
}
}Deterministic commit-message hygiene checker: conventional-commit format, vague-subject detection, subject-length limit, a same-message secret-pattern scan (AWS keys, private key headers, Slack/GitHub tokens, inline password=/secret= style credentials - checked against the message text only, never a diff), and an oversized-commit warning from caller-supplied insertions/deletions. POST one commit or a batch (max 200). Deterministic, no LLM, no network.
| Argument | Type | Description |
|---|---|---|
| commit | object | One commit: {sha?, message, insertions?, deletions?}. message is required. |
| commits | array | Alternative: batch of up to 200 commits. |
| max_lines_changed | integer | Default 500. Total insertions+deletions above this triggers a large_commit finding. |
{
"type": "object",
"properties": {
"commit": {
"type": "object",
"description": "One commit: {sha?, message, insertions?, deletions?}. message is required."
},
"commits": {
"type": "array",
"items": {
"type": "object"
},
"description": "Alternative: batch of up to 200 commits."
},
"max_lines_changed": {
"type": "integer",
"description": "Default 500. Total insertions+deletions above this triggers a large_commit finding.",
"exclusiveMinimum": 0
}
}
}Make Mermaid diagrams portable. Takes HTML containing <div class="mermaid"> blocks (or a raw Mermaid source) and returns the same document with every diagram pre-rendered to inline SVG and the Mermaid CDN runtime stripped. A CDN-backed diagram only renders if the reader can fetch and run the runtime; inline SVG needs neither, so the output survives offline readers, email clients, Notion/Confluence (which strip <script>), and PDF export. Rendering happens on our infrastructure; diagram content is not sent to any third party.
| Argument | Type | Description |
|---|---|---|
| html | string | HTML document or fragment containing <div class="mermaid"> blocks. Mutually exclusive with mermaid_source. |
| theme | string | Mermaid theme. Default "default". |
| background | string | "transparent" (default), "white", or a hex color. |
| output_format | string | Default "html". "svg" returns the raw inline SVG and requires mermaid_source. |
| mermaid_source | string | A single raw Mermaid diagram source. Mutually exclusive with html. |
| inject_lightbox | boolean | Add click-to-enlarge overlay CSS+JS for small-text diagrams. Default false. |
{
"type": "object",
"properties": {
"html": {
"type": "string",
"description": "HTML document or fragment containing <div class=\"mermaid\"> blocks. Mutually exclusive with mermaid_source."
},
"theme": {
"enum": [
"default",
"dark",
"forest",
"neutral",
"base"
],
"type": "string",
"description": "Mermaid theme. Default \"default\"."
},
"background": {
"type": "string",
"description": "\"transparent\" (default), \"white\", or a hex color."
},
"output_format": {
"enum": [
"html",
"svg"
],
"type": "string",
"description": "Default \"html\". \"svg\" returns the raw inline SVG and requires mermaid_source."
},
"mermaid_source": {
"type": "string",
"description": "A single raw Mermaid diagram source. Mutually exclusive with html."
},
"inject_lightbox": {
"type": "boolean",
"description": "Add click-to-enlarge overlay CSS+JS for small-text diagrams. Default false."
}
}
}Scope-completeness advisor. POST a brief (or requirements[]) + your stories[] and get a coverage score + the gaps (requirements no story covers), orphan stories (possible scope creep), and missing structural buckets (auth/CRUD/error-states/tests). Tells you what the scope is missing. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| brief | string | |
| stories* | array | |
| requirements | array |
{
"type": "object",
"required": [
"stories"
],
"properties": {
"brief": {
"type": "string"
},
"stories": {
"type": "array",
"items": {
"type": "string"
}
},
"requirements": {
"type": "array",
"items": {
"type": "string"
}
}
}
}Bug-triage advisor. POST one bug report (or a list) and get severity (critical/high/medium/low), category, whether it has repro steps, and what info is missing (no repro / no expected-vs-actual / no environment). For a list: priority ranking + likely-duplicate clusters. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| report | string | |
| reports | array |
{
"type": "object",
"properties": {
"report": {
"type": "string"
},
"reports": {
"type": "array",
"items": {
"type": "string"
}
}
}
}Dependency-manifest hygiene check. POST package manifests (package.json, requirements.txt, pyproject.toml, go.mod, Gemfile, composer.json, pubspec.yaml, lockfiles) or an upload_id and get findings with severity + concrete fixes: wildcard/unbounded versions, missing lockfiles, unpinned installs, non-https indexes, install-script risks, dependency-confusion signals, and matches against a static snapshot of famously compromised packages. NOT a live CVE feed - pair with npm audit / pip-audit / osv-scanner for that. Deterministic, no network, no LLM.
| Argument | Type | Description |
|---|---|---|
| filename | string | Required with upload_id so the manifest type can be detected. |
| manifests | array | Up to 20 manifest files inline. |
| upload_id | string | Alternative: a single manifest uploaded via the uploads tool. |
{
"type": "object",
"properties": {
"filename": {
"type": "string",
"description": "Required with upload_id so the manifest type can be detected."
},
"manifests": {
"type": "array",
"items": {
"type": "object",
"required": [
"filename",
"content"
],
"properties": {
"content": {
"type": "string"
},
"filename": {
"type": "string"
}
}
},
"description": "Up to 20 manifest files inline."
},
"upload_id": {
"type": "string",
"description": "Alternative: a single manifest uploaded via the uploads tool."
}
}
}Turn a plain-English description into Mermaid diagram source. Describe the flow, system, schema or timeline you want ("a login flow with an OAuth branch and a failure path") and get back complete, valid Mermaid - no need to know the syntax. The mermaid field of the response is directly usable as the mermaid_source input of convert_diagram, so describe -> render is a two-call pipeline. Generation runs on our infrastructure via AWS Bedrock; your description is not sent to any third-party service beyond that.
| Argument | Type | Description |
|---|---|---|
| description* | string | What the diagram should show, in plain language. Include the nodes/steps/entities you care about; the generator fills in sensible structure. |
| diagram_type | string | Force a specific Mermaid diagram type. Default "auto" - the generator picks the type that fits the description. |
{
"type": "object",
"required": [
"description"
],
"properties": {
"description": {
"type": "string",
"maxLength": 8000,
"description": "What the diagram should show, in plain language. Include the nodes/steps/entities you care about; the generator fills in sensible structure."
},
"diagram_type": {
"enum": [
"auto",
"flowchart",
"sequence",
"class",
"state",
"er",
"gantt",
"pie",
"mindmap",
"timeline"
],
"type": "string",
"description": "Force a specific Mermaid diagram type. Default \"auto\" - the generator picks the type that fits the description."
}
}
}Diagram quality QA. Catch and fix the things that ruin diagrams: (1) unreadable label contrast - POST a mermaid/SVG or HTML diagram, get every WCAG-AA failure (incl. mermaid <style>-block label colors, with unresolvable fills flagged honestly, not false-passed) + auto-corrected colors; (2) harden a mermaid SOURCE before it renders - rewrites every fill/label pair and remaps fills no label color can rescue, which scanning cannot do because a per-node style line overrides the theme block; (3) HTML-looks-fine-but-prints-broken - checks for the print-color-adjust/page-break gotchas and returns the fix CSS; (4) arrows crossing objects - returns the ELK-renderer config + layout rules that minimize crossings. Pure deterministic - no AI, no rate limit.
| Argument | Type | Description |
|---|---|---|
| bg | string | contrast/readable: background/fill hex (#rrggbb). |
| fg | string | contrast: foreground hex (#rrggbb). |
| mode | string | Default "scan". scan=check rendered output; harden=fix a mermaid source before rendering; print=print-safety check; layout=arrow-crossing reduction. |
| brand | string | brand palette to use (e.g. appstango). Default from config. |
| large | boolean | contrast/harden: use the 3:1 large-text threshold. |
| format | string | scan: content format (default svg). |
| source | string | harden: the mermaid SOURCE text (not rendered SVG). |
| autofix | boolean | scan: include suggested corrected colors. |
| content | string | scan/print: the SVG or HTML diagram/document source. |
| add_init | boolean | harden: prepend the %%{init}%% theme block (default true). |
| renderer | string | layout: mermaid renderer (default "elk"). |
{
"type": "object",
"properties": {
"bg": {
"type": "string",
"description": "contrast/readable: background/fill hex (#rrggbb)."
},
"fg": {
"type": "string",
"description": "contrast: foreground hex (#rrggbb)."
},
"mode": {
"enum": [
"scan",
"harden",
"contrast",
"readable",
"palette",
"print",
"layout"
],
"type": "string",
"description": "Default \"scan\". scan=check rendered output; harden=fix a mermaid source before rendering; print=print-safety check; layout=arrow-crossing reduction."
},
"brand": {
"type": "string",
"description": "brand palette to use (e.g. appstango). Default from config."
},
"large": {
"type": "boolean",
"description": "contrast/harden: use the 3:1 large-text threshold."
},
"format": {
"enum": [
"svg",
"html"
],
"type": "string",
"description": "scan: content format (default svg)."
},
"source": {
"type": "string",
"description": "harden: the mermaid SOURCE text (not rendered SVG)."
},
"autofix": {
"type": "boolean",
"description": "scan: include suggested corrected colors."
},
"content": {
"type": "string",
"description": "scan/print: the SVG or HTML diagram/document source."
},
"add_init": {
"type": "boolean",
"description": "harden: prepend the %%{init}%% theme block (default true)."
},
"renderer": {
"type": "string",
"description": "layout: mermaid renderer (default \"elk\")."
}
}
}Deterministic classifier for story/task hour estimates against benchmarks: flags each estimate in_range, borderline, over, under, or unbenchmarked. Supply either an explicit {min, max} range per type (benchmarks) or a list of historical actual hours per type (historical) that this endpoint derives a mean/stdev variance band from - explicit ranges win when both are given for the same type. No benchmark numbers are built in; a type with neither input is reported unbenchmarked, never guessed at. POST one estimate or a batch (max 200). Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| flag_z | number | Default 2.0. Stdevs from the historical mean beyond which a result is "over"/"under" instead of "borderline". Must be >= borderline_z. |
| estimate | object | One item: {id?, type, hours}. type and hours are required. |
| estimates | array | Alternative: batch of up to 200 items. |
| benchmarks | object | Optional. Per type: {min?, max?}. Wins over historical for the same type. |
| historical | object | Optional. Per type: array of past actual hours (max 500 each), used to derive mean/stdev when no explicit benchmark exists for that type. Needs at least 2 values to produce a band. |
| borderline_z | number | Default 1.0. Stdevs from the historical mean before a result is "borderline" instead of "in_range". |
{
"type": "object",
"properties": {
"flag_z": {
"type": "number",
"maximum": 10,
"description": "Default 2.0. Stdevs from the historical mean beyond which a result is \"over\"/\"under\" instead of \"borderline\". Must be >= borderline_z.",
"exclusiveMinimum": 0
},
"estimate": {
"type": "object",
"description": "One item: {id?, type, hours}. type and hours are required."
},
"estimates": {
"type": "array",
"items": {
"type": "object"
},
"description": "Alternative: batch of up to 200 items."
},
"benchmarks": {
"type": "object",
"description": "Optional. Per type: {min?, max?}. Wins over historical for the same type.",
"additionalProperties": {
"type": "object",
"properties": {
"max": {
"type": "number"
},
"min": {
"type": "number"
}
}
}
},
"historical": {
"type": "object",
"description": "Optional. Per type: array of past actual hours (max 500 each), used to derive mean/stdev when no explicit benchmark exists for that type. Needs at least 2 values to produce a band.",
"additionalProperties": {
"type": "array",
"items": {
"type": "number"
}
}
},
"borderline_z": {
"type": "number",
"maximum": 10,
"description": "Default 1.0. Stdevs from the historical mean before a result is \"borderline\" instead of \"in_range\".",
"exclusiveMinimum": 0
}
}
}Submit free-text feedback about the API - a bug, a feature request, a docs gap, a billing question, or anything else. Tied to your key so we can follow up, but not billed and not a support-ticket SLA. Auth required; not billed.
| Argument | Type | Description |
|---|---|---|
| message* | string | What you want us to know. Up to 4000 characters. |
| category | string | Defaults to "other". |
| endpoint | string | Optional. Which /v1/* endpoint or MCP tool this is about, e.g. "/v1/ticket-lint". |
| severity | string | Optional. Omit if not applicable. |
| contact_ok | boolean | Optional, defaults to false. Whether we may follow up with you about this. |
{
"type": "object",
"required": [
"message"
],
"properties": {
"message": {
"type": "string",
"description": "What you want us to know. Up to 4000 characters."
},
"category": {
"enum": [
"bug",
"feature_request",
"docs",
"billing",
"other"
],
"type": "string",
"description": "Defaults to \"other\"."
},
"endpoint": {
"type": "string",
"description": "Optional. Which /v1/* endpoint or MCP tool this is about, e.g. \"/v1/ticket-lint\"."
},
"severity": {
"enum": [
"low",
"medium",
"high"
],
"type": "string",
"description": "Optional. Omit if not applicable."
},
"contact_ok": {
"type": "boolean",
"description": "Optional, defaults to false. Whether we may follow up with you about this."
}
}
}Rewrite text to remove AI-writing tells. POST prose and get it back with the mechanical tells fixed (AI vocabulary swapped for plain words, filler phrases stripped, em-dash overuse reduced, significance inflation deflated) plus a change log, before/after ai-ness scores, and a residual list of tells that need human judgment (not auto-rewritten). Code fences, inline code, URLs, and quotes are never touched. Deterministic, no LLM. Sister to humanizer_score (the detector).
| Argument | Type | Description |
|---|---|---|
| text* | string | The prose to rewrite (up to 100k chars). |
{
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "The prose to rewrite (up to 100k chars)."
}
}
}Detect AI-writing tells in text. POST prose and get a 0-1 ai_ness score + band (low/medium/high) + the EXACT patterns that fired (AI vocabulary, significance inflation, promotional language, filler phrases, negative parallelism, rule-of-three, em-dash overuse) with sample spans. Explainable, not an opaque classifier - every point is a named, located pattern. Deterministic, no LLM. The rewrite is a separate step.
| Argument | Type | Description |
|---|---|---|
| text* | string | The prose to score (up to 100k chars). |
{
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "The prose to score (up to 100k chars)."
}
}
}Analyze a log file. POST raw log text (or an upload_id from the uploads tool, up to 5MB) and get: level breakdown + time range, error clusters (messages normalized so variable ids/numbers collapse into one signature, with counts + first/last seen + a sample), a timeline, detected anomalies (error spikes, retry storms, new error signatures, log gaps/outages, level-ratio shifts) with evidence, and templated recommendations. Handles JSON-lines and plain formats (ISO8601/syslog/CLF/epoch timestamps). Deterministic, single-pass, no LLM.
| Argument | Type | Description |
|---|---|---|
| text | string | Raw log content (up to 1M chars). |
| top_n | number | Top clusters to return (1-50, default 10). |
| format | string | |
| upload_id | string | Alternative: a log file uploaded via the uploads tool. |
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Raw log content (up to 1M chars)."
},
"top_n": {
"type": "number",
"description": "Top clusters to return (1-50, default 10)."
},
"format": {
"enum": [
"auto",
"json",
"plain"
],
"type": "string"
},
"upload_id": {
"type": "string",
"description": "Alternative: a log file uploaded via the uploads tool."
}
}
}Generate a concrete audit-logging spec for an app. POST your feature list (and optional compliance targets: soc2/hipaa/gdpr/pci) and get a full audit-event catalog (namespaced event names, actor/target/required fields, PII flags, retention), a canonical event envelope schema, a storage plan (append-only, access control, alerting), and per-framework compliance notes. A dev team can implement it directly. Deterministic, no LLM. Retention/compliance figures are common-practice defaults to verify with counsel.
| Argument | Type | Description |
|---|---|---|
| stack | string | |
| features | array | App features, e.g. ["user login", "payments", "file upload"]. |
| compliance | array | |
| description | string | Optional free-text app description (scanned for features). |
{
"type": "object",
"properties": {
"stack": {
"type": "string"
},
"features": {
"type": "array",
"items": {
"type": "string"
},
"description": "App features, e.g. [\"user login\", \"payments\", \"file upload\"]."
},
"compliance": {
"type": "array",
"items": {
"enum": [
"soc2",
"hipaa",
"gdpr",
"pci"
],
"type": "string"
}
},
"description": {
"type": "string",
"description": "Optional free-text app description (scanned for features)."
}
}
}LLM selection + cost advisor. POST a task description (+ optional volume/tokens/constraints like local-only or cheap) and get a recommended model + fallback chain + do-not-use (with reasons), the complexity tier, and per-run + monthly cost. A maintained model+price catalog. Deterministic, no LLM. Tells the AI/user which model to use and what it costs.
| Argument | Type | Description |
|---|---|---|
| task* | string | |
| top_n | integer | How many ranked models to return as primary+fallbacks (rest land in also_considered). Default 1 = primary alone. |
| models | array | Optional allowlist - restrict ranking to only these model identifiers (e.g. models you already have access to). Any catalog model not in this list is excluded, listed in do_not_use. |
| tokens_in | number | |
| tokens_out | number | |
| constraints | array | |
| volume_per_month | number |
{
"type": "object",
"required": [
"task"
],
"properties": {
"task": {
"type": "string"
},
"top_n": {
"type": "integer",
"default": 1,
"maximum": 10,
"minimum": 1,
"description": "How many ranked models to return as primary+fallbacks (rest land in also_considered). Default 1 = primary alone."
},
"models": {
"type": "array",
"items": {
"type": "string",
"minLength": 1
},
"maxItems": 50,
"minItems": 1,
"description": "Optional allowlist - restrict ranking to only these model identifiers (e.g. models you already have access to). Any catalog model not in this list is excluded, listed in do_not_use."
},
"tokens_in": {
"type": "number"
},
"tokens_out": {
"type": "number"
},
"constraints": {
"type": "array",
"items": {
"type": "string"
}
},
"volume_per_month": {
"type": "number"
}
}
}Deterministic PR description quality linter: flags a missing/too-short body, absent test evidence, absent stated rationale, an unstructured long body, and - only for PRs that look like bugfixes (title prefix fix/bug/hotfix/patch, or an explicit is_bugfix flag) - missing repro steps. Optionally requires a linked issue/ticket reference. Single PR only, no batch. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| pr* | object | {title?, body?, is_bugfix?}. is_bugfix overrides title-based inference when supplied. |
| require_issue_link | boolean | Default false. When true, flags a missing issue/ticket reference in the title or body. |
{
"type": "object",
"required": [
"pr"
],
"properties": {
"pr": {
"type": "object",
"properties": {
"body": {
"type": "string"
},
"title": {
"type": "string"
},
"is_bugfix": {
"type": "boolean"
}
},
"description": "{title?, body?, is_bugfix?}. is_bugfix overrides title-based inference when supplied."
},
"require_issue_link": {
"type": "boolean",
"description": "Default false. When true, flags a missing issue/ticket reference in the title or body."
}
}
}Rate a specific prior metered call - thumbs up or down, plus an optional comment - keyed by the request_id that call's response reported. Scoped for now to rating compress calls, so you can tell us when a compression was too aggressive or dropped something it shouldn't have. Resubmitting the same request_id overwrites your previous rating rather than adding a second one. Auth required; not billed - rating a call you already paid for should not cost more.
| Argument | Type | Description |
|---|---|---|
| rating* | string | |
| comment | string | Optional. What was good or wrong about that call's result. |
| request_id* | string | The request_id from the response of the call you are rating. |
{
"type": "object",
"required": [
"request_id",
"rating"
],
"properties": {
"rating": {
"enum": [
"up",
"down"
],
"type": "string"
},
"comment": {
"type": "string",
"maxLength": 1000,
"description": "Optional. What was good or wrong about that call's result."
},
"request_id": {
"type": "string",
"maxLength": 100,
"description": "The request_id from the response of the call you are rating."
}
}
}Deterministic Flesch Reading Ease and Flesch-Kincaid Grade Level for a block of text, plus word/sentence/syllable counts and a plain-language reading-ease band (very_easy through very_confusing). Syllable counting is the standard vowel-group heuristic (same approximation used by textstat and most open readability tools), not a dictionary lookup. Optionally pass target_grade to get an on_target flag (within +/-2.0 grade levels). Different metric family from humanizer_score - this is pure readability statistics, not AI-writing-tell detection. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| text* | string | Prose to analyze. Max 100,000 characters. |
| target_grade | number | Optional target Flesch-Kincaid grade level, 0-20. |
{
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "Prose to analyze. Max 100,000 characters."
},
"target_grade": {
"type": "number",
"maximum": 20,
"minimum": 0,
"description": "Optional target Flesch-Kincaid grade level, 0-20."
}
}
}Static safety analysis of a regular expression plus an English explanation of what it matches. Parses the pattern into an AST and flags the structures that cause catastrophic backtracking (ReDoS): nested unbounded quantifiers like (a+)+, repeated alternations whose branches can start with the same character like (a|ab)*, adjacent unbounded quantifiers over overlapping character sets like \d+\d+, and implausibly large bounded repeats. The pattern is COMPILED but never EXECUTED against input - running a caller-supplied regex is itself the denial-of-service vector. Detection is a structural heuristic, so a risk of "none" means no known dangerous shape was found, not a proof of safety. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| flags | string | Optional inline flags, any of "imsxau" (ignorecase, multiline, dotall, verbose, ascii, unicode). |
| pattern* | string | The regular expression source, without delimiters. Max 2,000 characters. |
{
"type": "object",
"required": [
"pattern"
],
"properties": {
"flags": {
"type": "string",
"description": "Optional inline flags, any of \"imsxau\" (ignorecase, multiline, dotall, verbose, ascii, unicode)."
},
"pattern": {
"type": "string",
"description": "The regular expression source, without delimiters. Max 2,000 characters."
}
}
}SaaS health advisor. POST your MRR/customers (+ optional churn/CAC/margin/growth) and get ARR/ARPA/LTV/CAC/payback/Rule-of-40/NRR/GRR computed, each with a health tag, plus an overall grade + a ranked "what to fix first" focus list. Deterministic math + advisory, no LLM.
| Argument | Type | Description |
|---|---|---|
| cac | number | |
| mrr* | number | |
| new_mrr | number | |
| customers* | number | |
| prior_mrr | number | |
| churned_mrr | number | |
| expansion_mrr | number | |
| new_customers | number | |
| gross_margin_pct | number | |
| sales_marketing_spend | number |
{
"type": "object",
"required": [
"mrr",
"customers"
],
"properties": {
"cac": {
"type": "number"
},
"mrr": {
"type": "number"
},
"new_mrr": {
"type": "number"
},
"customers": {
"type": "number"
},
"prior_mrr": {
"type": "number"
},
"churned_mrr": {
"type": "number"
},
"expansion_mrr": {
"type": "number"
},
"new_customers": {
"type": "number"
},
"gross_margin_pct": {
"type": "number"
},
"sales_marketing_spend": {
"type": "number"
}
}
}Sprint/delivery health advisor. POST 1-24 sprints (committed/completed points, optional per-ticket estimate-vs-actual data) and get computed metrics each with a good/warn/bad health tag: velocity avg + trend + stability, commitment reliability, spillover rate, mid-sprint scope change, estimate accuracy (median + chronic-overrun pct), and WIP concentration per assignee. Plus an overall grade and a ranked what-to-fix-first focus list. Pure math + advisory, no LLM.
| Argument | Type | Description |
|---|---|---|
| sprints* | array | Oldest first: [{name, committed_points, completed_points, added_points?, spillover_points?, tickets?: [{key, estimate_hours, actual_hours, status, assignee}]}]. |
| team_size | number | |
| sprint_length_days | number | Default 10. |
{
"type": "object",
"required": [
"sprints"
],
"properties": {
"sprints": {
"type": "array",
"items": {
"type": "object"
},
"description": "Oldest first: [{name, committed_points, completed_points, added_points?, spillover_points?, tickets?: [{key, estimate_hours, actual_hours, status, assignee}]}]."
},
"team_size": {
"type": "number"
},
"sprint_length_days": {
"type": "number",
"description": "Default 10."
}
}
}Deterministic structural quality linter for user stories - a sibling to ticket_lint but scoped to story-writing concepts any team recognizes: narrative completeness (As-a/I-want-to/So-that/Summary), acceptance criteria presence, duplicate/unknown dependency IDs, a "Manage X" story with no CRUD split, list stories missing a pagination mention. An OPTIONAL rate_config unlocks team-specific checks (screen-vs-narrative match, hour-rate-per-screen tolerance, required risk level by story type, milestone-code format, required companion story types per milestone) - omit it and only the universal checks run. No house rates or milestone conventions are hardcoded. POST one story or a batch (max 50). Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| story | object | One story: {id, title, story: {as_a, i_want_to, so_that, summary, type_label?, on_screen?}, acceptance_criteria, dependencies?: [id], screen?, hours?: {<field>: number}, risk?, milestone_code?}. Missing fields ARE findings. |
| stories | array | Alternative: batch of up to 50 stories. Dependency/duplicate/required-companion checks are evaluated across the whole batch. |
| rate_config | object | Optional. Enables team-specific checks, all off by default. |
{
"type": "object",
"properties": {
"story": {
"type": "object",
"description": "One story: {id, title, story: {as_a, i_want_to, so_that, summary, type_label?, on_screen?}, acceptance_criteria, dependencies?: [id], screen?, hours?: {<field>: number}, risk?, milestone_code?}. Missing fields ARE findings."
},
"stories": {
"type": "array",
"items": {
"type": "object"
},
"description": "Alternative: batch of up to 50 stories. Dependency/duplicate/required-companion checks are evaluated across the whole batch."
},
"rate_config": {
"type": "object",
"properties": {
"rates": {
"type": "object",
"description": "Per type_label: {hours_field, hours_per_screen, tolerance?}. Flags hours[hours_field] that deviate from screens * hours_per_screen by more than tolerance (default 0.15)."
},
"risk_levels": {
"type": "array",
"items": {
"type": "string"
},
"description": "Valid risk values. Default high/medium/low."
},
"check_screen_match": {
"type": "boolean",
"description": "Flag when story.on_screen disagrees with story.screen."
},
"risk_required_types": {
"type": "array",
"items": {
"type": "string"
},
"description": "type_labels that must carry a valid risk level."
},
"milestone_code_pattern": {
"type": "string",
"description": "Regex the milestone_code field must match."
},
"required_companion_types": {
"type": "array",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string"
},
"label": {
"type": "string"
}
}
},
"description": "Batch-level only: for each milestone group (milestone_code prefix before the first \"-\"), flag if no story has this type_label."
}
},
"description": "Optional. Enables team-specific checks, all off by default."
}
}
}Full Jira-ticket quality linter (whole ticket, not just AC - use acceptance_criteria_validator for the deep AC pass). POST one ticket or a batch (max 50) and get per-ticket findings with severity + concrete fixes: missing/weak summary or description, missing AC or estimate, bugs without repro/expected-vs-actual/environment, missing epic link, points-vs-hours mismatch, oversized estimates to split, urgent-but-thin tickets. Returns score, grade, and a ready/needs_work verdict per ticket plus batch summary. Type-aware rules (story/bug/task/epic/subtask), strict profile available. Deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| ticket | object | One ticket: {key, summary, description, acceptance_criteria, issue_type, estimate_hours|story_points, priority, labels, components, epic_link, ...}. Missing fields ARE findings. |
| profile | string | |
| tickets | array | Alternative: batch of up to 50 tickets. |
{
"type": "object",
"properties": {
"ticket": {
"type": "object",
"description": "One ticket: {key, summary, description, acceptance_criteria, issue_type, estimate_hours|story_points, priority, labels, components, epic_link, ...}. Missing fields ARE findings."
},
"profile": {
"enum": [
"normal",
"strict"
],
"type": "string"
},
"tickets": {
"type": "array",
"items": {
"type": "object"
},
"description": "Alternative: batch of up to 50 tickets."
}
}
}Which QL-API endpoint fits this task. POST a task description and get the ranked endpoint(s) that best match, each with a confidence label (high/medium/low). Deterministic keyword matching over this platform's own endpoint catalog, no LLM. Pairs with model_advisor (which itself is one of the recommendable endpoints, so a "which model" task surfaces it) - call them independently and chain the results yourself; optionally pass a prior model_advisor result's rationale in as `context` to bias matching.
| Argument | Type | Description |
|---|---|---|
| task* | string | What you are trying to do. |
| tools | array | Optional allowlist - restrict matching to only these endpoint names. |
| top_n | integer | How many ranked endpoints to return. Default 1 = best match only. |
| context | string | Optional extra text to fold into matching - e.g. a prior model_advisor rationale, or more detail than fits in `task`. |
{
"type": "object",
"required": [
"task"
],
"properties": {
"task": {
"type": "string",
"description": "What you are trying to do."
},
"tools": {
"type": "array",
"items": {
"type": "string",
"minLength": 1
},
"maxItems": 20,
"minItems": 1,
"description": "Optional allowlist - restrict matching to only these endpoint names."
},
"top_n": {
"type": "integer",
"default": 1,
"maximum": 20,
"minimum": 1,
"description": "How many ranked endpoints to return. Default 1 = best match only."
},
"context": {
"type": "string",
"description": "Optional extra text to fold into matching - e.g. a prior model_advisor rationale, or more detail than fits in `task`."
}
}
}Get a presigned S3 PUT URL to upload a file (policy doc, config, log, up to 5MB) that a file-ingesting endpoint then reads by upload_id. Two-step: call this, PUT your file to the returned url, then pass upload_id to the consuming endpoint. Uploads auto-expire in 1 day and are readable only by your key. Auth required; not billed.
| Argument | Type | Description |
|---|---|---|
| content_type | string | MIME type of the file you will PUT (e.g. text/plain, application/json). Default application/octet-stream. |
{
"type": "object",
"properties": {
"content_type": {
"type": "string",
"description": "MIME type of the file you will PUT (e.g. text/plain, application/json). Default application/octet-stream."
}
}
}Worklog/timesheet policy checker - run a batch of worklog entries through configurable guardrails BEFORE posting them to a time-tracking system. Checks: rounding increment (default 0.25h, float-safe), per-entry min/max, per-author daily totals, duplicates, over-estimate alerts (never suggests inflating hours or estimates - flags to PM instead), future dates, weekends, immutable-author edit protection, missing description/ticket. Returns pass/warnings/blocked verdict + per-entry violations with fixes + hour totals by author and date. Caller supplies the reference date - fully deterministic, no LLM.
| Argument | Type | Description |
|---|---|---|
| today* | string | Reference date "YYYY-MM-DD" for future-date checks. |
| policy | object | Optional overrides: rounding_increment, max_hours_per_day, max_hours_per_entry, min_hours_per_entry, immutable_authors, require_description, require_ticket, over_estimate_policy (alert|block|ignore), future_dates (block|alert), weekend_policy (allow|alert). |
| entries* | array | Up to 500: [{author, date "YYYY-MM-DD", hours, ticket?, description?, estimate_hours?, already_logged_hours?, id?, edit?, delete?, new?}]. |
{
"type": "object",
"required": [
"entries",
"today"
],
"properties": {
"today": {
"type": "string",
"description": "Reference date \"YYYY-MM-DD\" for future-date checks."
},
"policy": {
"type": "object",
"description": "Optional overrides: rounding_increment, max_hours_per_day, max_hours_per_entry, min_hours_per_entry, immutable_authors, require_description, require_ticket, over_estimate_policy (alert|block|ignore), future_dates (block|alert), weekend_policy (allow|alert)."
},
"entries": {
"type": "array",
"items": {
"type": "object"
},
"description": "Up to 500: [{author, date \"YYYY-MM-DD\", hours, ticket?, description?, estimate_hours?, already_logged_hours?, id?, edit?, delete?, new?}]."
}
}
}