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

submit_enquiry

Submits an enquiry to Ohio Roof Replacement 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: "Happy for my details to go to roofing contractors working my area, who'll contact me with a quote."

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Happy for my details to go to roofing contractors working my area, who'll contact me with a quote.
confirmationNothe confirmation token from step 1, after the person has approved the summary

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

No annotations are provided, so the description must fully disclose behavior. It does: it states the operation is not a purchase, not a guaranteed quote, requires consent, sends an email with a clickable link before providers see it, and explains what step 1 returns versus step 2. This is comprehensive behavioral disclosure.

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 description is front-loaded with the core purpose and then structured into clear steps. It is longer than a typical description, but every sentence carries necessary process information. A slightly tighter phrasing could exist, but the organization and lack of fluff justify a 4.

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?

Given there is no output schema, the description explains what step 1 returns (summary, consent line, confirmation token) and what step 2 leads to (email with a link). It covers the required consent text and the two-step nature completely. No critical information an agent needs to call it correctly is missing.

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 descriptions cover each parameter, but the description adds meaning beyond them: it ties answers to enquiry_fields, explains that consent must be true only when the exact consent text is agreed to, and clarifies that the confirmation parameter is the token from step 1. This enriches the schema with critical workflow context.

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?

The description opens with a clear verb and resource: 'Submits an enquiry to Ohio Roof Replacement Cost.' It immediately clarifies exclusions ('NOT a purchase, NOT a guaranteed quote') and references the enquiry_fields sibling for the answer keying, so an agent can distinguish this from other tools without ambiguity.

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 lays out a two-step usage flow with conditions: step 1 requires answers and consent=true and yields a summary and token; step 2 only after the person agrees, reusing the same answers and adding the token. It also states the exact consent text. This is far beyond minimal usage guidance and leaves no ambiguity about when to invoke each 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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct role: one explains the workflow, one defines the input schema, and one performs the actual submission. There is no overlap or ambiguity between them.

Naming Consistency4/5

The names all include 'enquiry' and use snake_case, but two use an enquiry_ prefix while the action tool is verb-first as submit_enquiry. This is a minor inconsistency rather than a confusing mix.

Tool Count5/5

Three tools is appropriate for a single, focused enquiry workflow. Each tool earns its place and there is no redundancy or bloat.

Completeness5/5

The tool set covers the full enquiry lifecycle: understanding the process, retrieving the exact fields, and submitting with a two-step confirmation flow. No significant operations are missing for the stated purpose.

Resources