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

submit_enquiry

Submits an enquiry to Machinery Repair Quotes — 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 relevant machinery repair specialists, chosen by Machinery Repair Quotes, 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

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 relevant machinery repair specialists, chosen by Machinery Repair Quotes, 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: Happy for my details to go to relevant machinery repair specialists, who'll quote me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three relevant machinery repair specialists, chosen by Machinery Repair Quotes, 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. 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, the description carries the full burden and does so richly: it discloses the two-step handshake, that step 1 validates and returns a summary/consent line/token, that step 2 actually submits, that an email confirmation gates provider visibility, and the exact scope of consent (up to three specialists, opt-out). This is well beyond a bare mutating call.

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?

Purpose and the critical 'not a purchase' disclaimer are front-loaded, and the step sequence reads cleanly. It is dense and the consent wording is duplicated from the schema, but each block earns its place given the two-step novelty of the tool.

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, yet the description explains what step 1 returns (summary, consent line, confirmation token) and what step 2 triggers (email with a click-through link). For a nested-object, two-phase tool this is complete enough to call 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 description coverage is 100%, so the baseline is 3, but the description adds flow-level meaning the schema cannot: answers must be keyed by field key from enquiry_fields, consent must be true, and confirmation is the token returned by step 1 and only passed after approval. It explains the roles rather than just restating types.

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 Machinery Repair Quotes') and immediately bounds scope with what it is NOT ('NOT a purchase, NOT a guaranteed quote'). It also situates itself against the sibling enquiry_fields by naming it as the source of the answer keys.

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?

Gives explicit when-to-call sequencing: step 1 with answers+consent=true, then step 2 only 'if the person agrees' with the returned token. It also states the human-gated condition (email link click before any provider sees it), leaving no ambiguity about prerequisites.

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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