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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 Find A Co-Packer: 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. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses meaningful behavioral facts — the enquiry is free, nothing is bought or paid, no quote is guaranteed, and the tool returns recipient details, consent wording, and confirmation method. However, it never states its own side-effect profile (read-only, purely informational), and slightly conflates the describe-tool's output with the behavior of the tool it describes.

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?

Roughly sixty words with a front-loaded directive ('Read first'), a clear purpose statement, an exclusion list, and an output summary. Every sentence earns its place. Minor deduction: the title is a full sentence rather than a compact label, which adds slight redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 0-param informational tool with no output schema, the description adequately covers what the agent receives. But it never connects the tool to its siblings — it doesn't say what to do after reading (call submit_enquiry?) or how this relates to enquiry_fields — leaving the workflow context implied rather than explicit.

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 has zero parameters and an empty schema, so there is no parameter documentation burden. Per baseline, a 0-param tool warrants a 4, and the description correctly spends no space on inputs.

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 action — it 'states plainly what submit_enquiry does' — and names the subject resource explicitly. The title reinforces the semantic scope ('an ENQUIRY with a human, not a purchase'). It clearly sits apart from submit_enquiry (which performs the action) but never explicitly differentiates from enquiry_fields.

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?

The opening directive 'Read first' implies the tool should be invoked before acting, giving the agent a sense of when in a workflow to use it. However, it never explicitly says when to use this versus enquiry_fields or submit_enquiry, and there are no exclusion statements ('do not use when...'). Guidance is implied rather than stated.

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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