Quote AI agent liability insurance (Tech E&O + AI coverage) from a licensed US insurance broker.
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Describes the AI agent liability insurance Johal Insurance Brokers (licensed US broker) can quote: Technology E&O with affirmative AI coverage for companies that build or deploy AI agents. Returns coverages, limits, eligible states, required quote fields and how binding works. Free, no side effects.
This tool takes no arguments.
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claude mcp add --transport http ai-liability-insurance https://johalinsurancebrokers.com/mcp
Describes the AI agent liability insurance Johal Insurance Brokers (licensed US broker) can quote: Technology E&O with affirmative AI coverage for companies that build or deploy AI agents. Returns coverages, limits, eligible states, required quote fields and how binding works. Free, no side effects.
No arguments.
{
"type": "object",
"properties": {},
"additionalProperties": false
}Submits a quote request for AI agent liability insurance (Tech E&O + AI coverage) for a US company headquartered in CA, TX, IL, WI, LA. A licensed broker rates it and emails the quote to the company contact, usually the same business day. Free. Each call creates a real quote request that a human broker works on, using the company details provided. It does not bind coverage.
| Argument | Type | Description |
|---|---|---|
| zip | string | |
| city | string | |
| limit | number | Tech E&O limit wanted (default 1000000). |
| notes | string | |
| state* | string | State of the company's headquarters. |
| street | string | |
| website | string | Company website. |
| retention | number | Retention / deductible per claim (default 10000). |
| ai_sublimit | number | AI coverage sublimit (default 1000000; cannot exceed limit). |
| company_name* | string | Legal name of the company to be insured. |
| contact_name* | string | Name of the human at the company who will receive the quote. |
| prior_claims | boolean | Any Tech E&O or AI-related claims, regulatory actions or cease-and-desist letters in the last 3 years? |
| contact_email* | string | Email the quote is sent to. |
| contact_phone | string | |
| annual_revenue* | number | Annual gross revenue in USD (estimate is fine). |
| ai_agentic_tier* | string | How autonomously the AI acts. |
| ai_company_type | string | |
| current_insurance | string | Current Tech E&O / cyber carrier and expiration date, if any. |
| ai_model_providers | array | |
| requested_by_agent | string | Name of the AI agent or platform submitting this request. |
| ai_coverage_options | array | AI coverage parts wanted (default: all). |
| ai_training_approach | string | |
| what_the_product_does | string | Plain description of the product and what the AI/agent does for customers. |
| ai_governance_controls | array | |
| ai_high_stakes_domains | array |
{
"type": "object",
"required": [
"company_name",
"contact_name",
"contact_email",
"state",
"annual_revenue",
"ai_agentic_tier"
],
"properties": {
"zip": {
"type": "string"
},
"city": {
"type": "string"
},
"limit": {
"enum": [
1000000,
2000000,
3000000,
5000000,
10000000
],
"type": "number",
"description": "Tech E&O limit wanted (default 1000000)."
},
"notes": {
"type": "string"
},
"state": {
"enum": [
"CA",
"TX",
"IL",
"WI",
"LA"
],
"type": "string",
"description": "State of the company's headquarters."
},
"street": {
"type": "string"
},
"website": {
"type": "string",
"description": "Company website."
},
"retention": {
"enum": [
2500,
5000,
10000,
25000,
50000,
100000,
250000
],
"type": "number",
"description": "Retention / deductible per claim (default 10000)."
},
"ai_sublimit": {
"enum": [
500000,
1000000,
2000000,
5000000
],
"type": "number",
"description": "AI coverage sublimit (default 1000000; cannot exceed limit)."
},
"company_name": {
"type": "string",
"description": "Legal name of the company to be insured."
},
"contact_name": {
"type": "string",
"description": "Name of the human at the company who will receive the quote."
},
"prior_claims": {
"type": "boolean",
"description": "Any Tech E&O or AI-related claims, regulatory actions or cease-and-desist letters in the last 3 years?"
},
"contact_email": {
"type": "string",
"description": "Email the quote is sent to."
},
"contact_phone": {
"type": "string"
},
"annual_revenue": {
"type": "number",
"description": "Annual gross revenue in USD (estimate is fine)."
},
"ai_agentic_tier": {
"enum": [
"a1-passive",
"a2-constrained",
"a3-supervised",
"a4-material",
"a5-full"
],
"type": "string",
"description": "How autonomously the AI acts."
},
"ai_company_type": {
"enum": [
"ai-native",
"generic-saas",
"si-consulting",
"ai-safety",
"legal-tech",
"insurtech",
"medtech",
"fintech-lending",
"content-synthetic-media",
"hr-tech",
"autonomous-robotics",
"ai-data-labeling"
],
"type": "string"
},
"current_insurance": {
"type": "string",
"description": "Current Tech E&O / cyber carrier and expiration date, if any."
},
"ai_model_providers": {
"type": "array",
"items": {
"enum": [
"anthropic-claude",
"openai-gpt",
"google-gemini",
"meta-llama",
"mistral",
"xai-grok",
"proprietary-in-house",
"other"
],
"type": "string"
}
},
"requested_by_agent": {
"type": "string",
"description": "Name of the AI agent or platform submitting this request."
},
"ai_coverage_options": {
"type": "array",
"items": {
"enum": [
"algorithmic-bias-liability",
"ai-intellectual-property-liability",
"training-data-misuse-liability",
"regulatory-investigation-defense-costs",
"data-poisoning-adversarial-attack",
"deepfake-synthetic-media-liability"
],
"type": "string"
},
"description": "AI coverage parts wanted (default: all)."
},
"ai_training_approach": {
"enum": [
"none",
"lora-qlora",
"instruction-sft",
"full-fine-tune"
],
"type": "string"
},
"what_the_product_does": {
"type": "string",
"description": "Plain description of the product and what the AI/agent does for customers."
},
"ai_governance_controls": {
"type": "array",
"items": {
"enum": [
"iso-42001",
"bias-audit",
"pen-test",
"soc2-iso27001",
"guardrails"
],
"type": "string"
}
},
"ai_high_stakes_domains": {
"type": "array",
"items": {
"enum": [
"credit-lending",
"insurance",
"hiring",
"healthcare",
"criminal-justice",
"housing",
"education",
"none"
],
"type": "string"
}
}
},
"additionalProperties": false
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Oct 31, 2026.