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

submit_enquiry

Submits an enquiry to Bin Rules 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 waste collection companies, chosen by Bin Rules 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 waste collection companies, chosen by Bin Rules 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 relevant waste collection companies, who'll contact me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three relevant waste collection companies, chosen by Bin Rules 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

A4.9/5.0
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: it discloses that step 1 validates and returns a summary, consent line and token; that the enquiry is only submitted at step 2; and critically that no provider sees the data until the person clicks an emailed confirmation link. It also spells out the downstream data flow (contact details to up to three firms chosen by the checker, email notice per firm, ability to 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 the purpose and the two steps in order, and most sentences carry operational weight. The only cost is duplication: the full consent sentence is reproduced verbatim both here and in the schema's consent description, which is redundant bulk.

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, and the description compensates by describing what step 1 returns (summary, consent line, confirmation token) and what happens after step 2 (email with a link the person must click). Given a 3-parameter, nested-object tool with two distinct call modes, an agent has everything needed to invoke it correctly.

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

Parameters5/5

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 goes well beyond it by tying 'answers' to field keys from enquiry_fields, defining the exact meaning of consent with the full quoted agreement text, and explaining the confirmation token's timing (only after the summary is approved). That flow-level 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 Bin Rules Checker') and immediately scopes what it is NOT ('NOT a purchase, NOT a guaranteed quote'), which is the most likely confusion point for an agent scanning this tool family. It also carefully enumerates the two-step protocol so the agent knows exactly what the call accomplishes at each invocation.

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 an explicit ordered procedure: Step 1 with answers + consent=true, present the summary and consent line to the person, then Step 2 only if the person agrees, with the same answers plus the confirmation token. The precondition for the second call ('only if the person agrees') and the dependency on enquiry_fields for field keys leave 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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