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Submit an ENQUIRY to human providers (two steps; not a purchase)

submit_enquiry

Submits an enquiry to Self Build Insurance Compare — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three specialist business insurance brokers, chosen by Self Build Insurance Compare, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "answers": "<answers>",
      "consent": "<consent>"
    },
    "name": "submit_enquiry"
  }
}

Input Schema

NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Send my contact details to up to three specialist business insurance brokers, chosen by Self Build Insurance Compare, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.
confirmationNothe confirmation token from step 1, after the person has approved the summary

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / consent / description
      Previous value: -"true only when the person has agreed to: Send my contact details to up to three insurance brokers who place self build risks, chosen by Self Build Insurance Compare, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."New value: +"true only when the person has agreed to: Send my contact details to up to three specialist business insurance brokers, chosen by Self Build Insurance Compare, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
  2. Changed1 schema field changed
    • changedInput schema / properties / consent / description
      Previous value: -"true only when the person has agreed to: Happy for my details to go to insurance brokers who place self build risks, who'll contact me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three insurance brokers who place self build risks, chosen by Self Build Insurance Compare, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
  3. First observed

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden and does so richly: it discloses the two-step validation, the confirmation token, the double-opt-in email link that must be clicked before any provider sees the data, and the exact scope of consent (up to three brokers, emailed each firm's name, can stop further sharing).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and the 'not a purchase' caveat, then the steps in order. The final sentence reproduces the consent string verbatim, which duplicates the consent parameter's schema description, but this is defensible since the text must be shown to the person.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description must explain returns — and it does, naming the summary, consent line and confirmation token from step 1, plus the email/link consequence of step 2. Complete for a two-step, nested-object mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds workflow meaning the schema does not: answers must be keyed by field key from enquiry_fields, consent=true is required in both steps, and confirmation is only supplied on the second call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Starts with a specific verb+resource ('Submits an enquiry to Self Build Insurance Compare') and immediately disambiguates with 'NOT a purchase, NOT a guaranteed quote'. This clearly separates it from the compare_* siblings, which analyse options rather than submit anything.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly narrates the two-step flow: Step 1 with answers and consent=true, then Step 2 'only if the person agrees' with the added confirmation token. It also states what to do with the step-1 return (show the summary and consent line), leaving nothing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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