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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 Send A Parcel Compare: 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

A3.7/5.0
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 disclaims side effects ("Nothing is bought, ordered or paid; no quote is guaranteed; it is free") and previews the returned content (recipients, consent wording, confirmation). For a 0-param read/explain tool this is solid, though it doesn't say anything about format or limits of the returned text.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loads "Read first," which is good. But it spends words restating the title's caveats ("no quote is guaranteed" / "Nothing is bought, ordered or paid" / "it is free" overlap), and the long colon-joined middle sentence is denser than it needs to be.

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 no-parameter, no-output-schema tool, the description covers both the purpose and the nature of the output (who receives details, consent wording, confirmation method), which is sufficient for an agent to decide to call it. Slightly more on the form of the returned text would close the remaining gap.

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, so the baseline is 4; there is nothing for the description to disambiguate on this axis.

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 the tool's job: it explains in plain language what submit_enquiry does and returns the surrounding detail (recipients, consent wording, confirmation path). This distinguishes it from submit_enquiry (the action) and enquiry_fields (the schema), though the framing in terms of another tool is slightly indirect rather than stating "this tool returns X".

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 consumed before the enquiry flow, which is useful implied guidance. However, it never names the alternative tools explicitly or states when this is unnecessary, leaving the when/when-not to inference.

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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