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

submit_enquiry

Submits an enquiry to Class Q Checker — 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 planning consultants or rural architects, chosen by Class Q Checker, 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 relevant planning consultants or rural architects, chosen by Class Q Checker, 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 a relevant planning consultant or rural architect, who'll contact me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three relevant planning consultants or rural architects, chosen by Class Q Checker, 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 discharges it well: it discloses that step 1 only validates and returns a summary/consent line/token, that step 2 causes an email to be sent, that a link must be clicked before providers see anything, and that contact details go to up to three firms with per-firm notification and opt-out. These are real side effects and data-sharing consequences an agent must understand before calling.

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 the key disambiguation and structured as Step 1 / Step 2, so it is easy to scan. The verbatim consent string is lengthy, but it is the actual text the agent must show the person, so it earns its place; a small amount of repetition around consent is the only waste.

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?

There is no output schema, but the description compensates by describing exactly what step 1 returns (summary, consent line, confirmation token) and what happens after step 2 (email with a click-through link). For a two-phase, consent-gated submission tool with a nested answers object, nothing material is left unexplained.

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 would be 3, but the description adds meaning beyond the schema: it explains that answers are keyed by field key obtained from enquiry_fields, and that confirmation is the token returned by step 1 and must only be sent after approval. That sequencing and provenance 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?

Names a specific verb (submits) and resource (an enquiry to Class Q Checker), and immediately disambiguates what it is NOT ('NOT a purchase, NOT a guaranteed quote'), which is exactly the confusion a sibling like checker_answer could cause. The two-step nature is stated up front so an agent knows the shape of the operation before reading further.

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 call conditions for each step: step 1 with answers + consent=true, step 2 only after the person approves, with the confirmation token. It also routes to the sibling that supplies the field keys (enquiry_fields) and states the consent prerequisite that gates the whole call.

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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