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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 Calcul Brut en Net: 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

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and largely succeeds: it explicitly negates side effects ("Nothing is bought, ordered or paid"), states cost ("it is free"), and denies a guarantee ("no quote is guaranteed"). It also discloses content the tool surfaces, notably the consent wording and who receives the data — meaningful behavioral context. It stops short of stating permissions or a return shape.

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?

Short and front-loaded with the imperative "Read first." Each clause adds a distinct fact (no purchase, no guarantee, free, return contents). Minor waste in the meta-phrasing "States plainly what submit_enquiry does," but overall 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?

No output schema exists, so the description must cover returns — it does so by listing recipients, consent wording, and the confirmation mechanism. With zero parameters and a simple advisory tool, this is nearly sufficient; only the exact return format is left unstated, which is acceptable for a descriptive helper.

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, which is the baseline-4 case: there is nothing for the description to disambiguate, and the schema is trivially complete. No parameter meaning is missing.

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 read-only resource: it explains the enquiry flow ("states plainly what submit_enquiry does") and enumerates the content it returns — recipients, consent wording, confirmation path. It is distinguishable from the sibling submit_enquiry because it frames itself as explanatory rather than transactional. It is slightly roundabout by describing a sibling's behavior rather than its own name, but the intent is still recoverable.

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" implies the tool should be consulted before submit_enquiry, giving an implied usage position. However no explicit when/when-not statement or named alternative ordering is given, so an agent must infer that this precedes the write tool. Minimum viable but not directive.

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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