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

submit_enquiry

Submits an enquiry to Cyber Insurance Cost — 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 Cyber Insurance Cost, 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."

Input Schema

TableJSON 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 Cyber Insurance Cost, 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 cyber risks, chosen by Cyber Insurance Cost, 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 Cyber Insurance Cost, 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 cyber 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 cyber risks, chosen by Cyber Insurance Cost, 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

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantially well: it discloses the validation step, the returned summary/consent line/token, the double opt-in email link that gates provider visibility, distribution to 'up to three' brokers, and that the person can stop further firms. It does not describe failure behavior when validation fails (e.g., bad field keys or missing answers), which for a form-submission tool is a real gap.

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?

The core distinction ('NOT a purchase') and the step ordering are front-loaded and every operational sentence earns its place. It loses a point for reproducing the full consent string verbatim, which already appears in the schema's consent property description, creating a long duplicated block.

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?

With no output schema, the description compensates by naming what each call returns (summary, consent line, confirmation token) and what happens after submission (email with a link the person must click before any provider sees it). For a two-step, nested-object tool, an agent has everything needed to complete the flow correctly.

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 genuinely non-schema meaning about how parameters relate across calls: 'answers' keyed by enquiry_fields keys, 'consent' tied to the two-step gating, and 'confirmation' only valid as a token returned from step 1 after approval. That sequencing semantics is not derivable from the schema alone.

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?

States a specific verb and resource ('Submits an enquiry to Cyber Insurance Cost') and immediately negates the two most likely misreadings: 'NOT a purchase, NOT a guaranteed quote'. It is clearly distinguished from siblings enquiry_fields and enquiry_describe, which the description references rather than duplicates.

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?

Provides an explicit two-step protocol: step 1 with answers + consent=true, step 2 only 'if the person agrees' with the same payload plus the confirmation token. It also routes the agent to enquiry_fields for the field keys, so the sequencing and prerequisites are unambiguous.

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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