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What you get: an ENQUIRY with a human (not a purchase, not a guaranteed quote)

enquiry_describe

Read first. States plainly what submit_enquiry does on Google reviews calculator: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does so well: it discloses that nothing is bought, ordered or paid, that no quote is guaranteed, that it is free, and what supplementary facts it returns (who receives details, consent wording, confirmation). It omits how the returned information is structured, but for a read-only explainer this is strong 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?

Sentences are front-loaded with the directive 'Read first.' and each clause adds a distinct fact (what it describes, the no-purchase/guarantee/free qualifiers, the extra returned context). Slightly dense with stacked clauses, but no meaningful waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, no-output-schema, no-annotation tool, the description supplies the behavioral guardrails and enumerates the returned context an agent would otherwise lack. Only the exact return structure is unstated, which is minor here.

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?

The tool takes zero parameters, so there is no parameter semantics to document; baseline 4 applies. The description correctly adds no redundant parameter talk.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear purpose: it explains what submit_enquiry does, including the non-purchase, non-guaranteed-quote nature of an enquiry, and lists the extra context it returns (recipient, consent wording, confirmation). It names and explains the sibling action tool submit_enquiry, so the agent can distinguish the descriptive tool from the action tool. It does not draw a line against enquiry_fields, which keeps it just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Read first.' gives explicit ordering guidance that routes the agent to call this before submit_enquiry. It establishes the context clearly but offers no explicit when-not or comparison against enquiry_fields.

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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