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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 AI Sandbox Environments: 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

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does well: it explicitly says nothing is bought, ordered or paid, no quote is guaranteed, and the service is free. It also names what the response includes (recipients, consent wording, confirmation method). It does not describe output shape or whether the content is static, which keeps it below a 5.

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?

About three sentences, front-loaded with 'Read first' and then the substance. The phrase 'on AI Sandbox Environments' and the slight redundancy between the title and body cost it a point but it remains tight.

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 must convey return content, and it does name the three things returned (recipients, consent wording, confirmation flow). For a zero-parameter informational tool, that is nearly sufficient; only the format/shape of the returned content is left implicit.

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 the baseline of 4 applies; there are no argument semantics to explain and the description correctly spends no words on them.

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 specific role: it returns an explanation of what submit_enquiry does, plus recipient, consent wording, and confirmation flow. That is clearly distinct from the siblings enquiry_fields (field definitions) and submit_enquiry (the action itself). It stops short of a 5 because the tool's own verb is framed as 'states plainly what submit_enquiry does' rather than a crisp statement of its own output.

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' gives an implied ordering before submit_enquiry, which is genuine guidance. However, no when-not conditions are given and the sibling enquiry_fields is never mentioned, so the agent has to infer whether this or enquiry_fields is the right preparatory read.

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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