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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 Software Pricing Index: 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

A4/5.0
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 so well: it states the tool returns 'who receives the details, the consent wording, and how the person confirms' and clarifies that nothing is bought, ordered, or paid and no quote is guaranteed. This makes the non-transactional, informational nature clear. There is no contradiction with annotations because none are provided.

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?

The description is front-loaded with 'Read first' and each sentence adds a distinct point: what it does, what it does not do, and what it returns. It is slightly wordy with repeated emphasis on 'plainly' and direct quotation, but remains compact and well ordered.

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 tool with no output schema, the description gives a complete picture of the informational return value and the non-transactional nature. It is adequate for an agent to invoke it correctly, though an exact output contract or field list would make it fully complete.

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 100% schema coverage, so the baseline is 4. The description compensates by explaining what the tool returns rather than parameter details, which is appropriate for a no-input informational tool.

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 clearly identifies the tool as an explanation of submit_enquiry: 'States plainly what submit_enquiry does on Software Pricing Index.' It also differentiates itself from a purchase or guaranteed quote, so an agent understands it is informational rather than transactional. It does not explicitly contrast with sibling comparison/field tools, which keeps it just below 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Read first' strongly implies this is a prerequisite before calling submit_enquiry, giving clear contextual timing. The description also conveys the scope ('Software Pricing Index') and the expected workflow. It does not enumerate when to prefer enquiry_fields or compare_* siblings, so explicit exclusions are missing.

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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