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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 Wen Receipts: 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 burden and does reasonably well: it discloses that nothing is bought, ordered or paid, that it is free, that no quote is guaranteed, and that it returns consent wording and confirmation mechanics. It effectively communicates a no-side-effect, informational read tool, though it never explicitly says it is read-only or lists permissions.

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 a compact four-clause explanation of what the enquiry means and what is returned. Every sentence carries information, though the phrasing is slightly conversational and could be trimmed. No wasted boilerplate.

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 informational tool with no output schema and no annotations, the description supplies the semantic meaning of the enquiry flow, the consent context, and the absence of cost or guarantee. Given the low complexity, this is close to sufficient; only an explicit statement of its own read-only nature is missing.

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 input schema has zero parameters and 100% coverage, so there is nothing for the description to document; the baseline for a no-parameter tool is 4. The description correctly implies no inputs are needed.

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 names a specific function: it explains what submit_enquiry does, stating the enquiry is with human providers who quote directly, and that the tool returns consent wording and confirmation details. The verb 'describe' plus the enquiry subject is clear, and it implicitly distinguishes itself from the sibling submit_enquiry (one explains, one acts). It stops short of a crisp one-line statement of its own purpose, opening instead with a directive.

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 a sequencing hint that this should be consulted before acting on an enquiry, which is genuine but thin. No sibling alternative is named (e.g., enquiry_fields or listing_describe), and no explicit when-not condition is given, so the agent must infer the boundary.

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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