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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 Commercial Refinance Quotes: 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

A3.6/5.0
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 disclose meaningful traits: nothing is bought, ordered or paid, no quote is guaranteed, it is free, and it returns consent wording and recipient information. This is solid disclosure about the downstream flow, though it says less about the tool's own read semantics (idempotence, freshness, scoping).

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 'Read first', then two compact sentences covering behavior and return content. Efficient overall, though the middle clause about submit_enquiry is slightly circuitous given the tool's own name.

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?

There is no output schema, so the description rightly enumerates what comes back (recipients of details, consent wording, confirmation method). For a zero-parameter, no-annotation informational tool this is nearly complete; only the tool's own read semantics go unstated.

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 and schema coverage is 100%, so there is nothing for the description to clarify. Baseline 4 applies for a no-argument tool.

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

Purpose3/5

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

The description frames the tool as a static explainer ('States plainly what submit_enquiry does'), and the final sentence reveals its own payload (who receives details, consent wording, confirmation step). The verb/resource are inferable but blurred: it reads as a description OF submit_enquiry rather than a tool named enquiry_describe, so an agent must work to see it as a standalone read-only informational resource.

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

Usage Guidelines3/5

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

'Read first' is an explicit sequencing cue relative to submit_enquiry, implying it should be consulted before submitting. However, no sibling alternatives are named and no conditions for when-not to use it are given; usage is implied rather than spelled out.

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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