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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 MOT Software: 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

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 transparency burden, and it does a good job: it reveals that the tool 'returns who receives the details, the consent wording, and how the person confirms', and it corrects the misconception that anything is bought or that a quote is guaranteed. It does not explicitly state whether calling enquiry_describe itself has side effects, but the 'read first' framing strongly signals a safe informational call.

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 compact and front-loaded with 'Read first'. Each clause adds either a caveat ('nothing is bought... free') or a return-content detail. It is not overly long, though it could be tightened slightly by removing the repetition between title and description.

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, no-output-schema informational tool, the definition is nearly complete: an agent knows why to call it, what it will convey, and what information it returns. The main gap is that it does not specify the output form (text vs structured message), but no output schema exists to supply that.

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, so the schema already covers everything for input. Per the baseline for parameterless tools, no additional parameter explanation is needed; the description adds no parameter semantics because there are none to add.

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 states the tool's purpose: to explain 'what submit_enquiry does' and to return the consent wording before a user acts. The title adds that this describes an enquiry rather than a purchase, so it is not a tautology. It does not explicitly contrast against sibling tools like compare_criteria or enquiry_fields, which keeps it from a 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' is an explicit timing cue: this should be used before proceeding with submit_enquiry. It also frames the content as the plain explanation of the submit flow. However, it does not name alternative tools or state when not to use this one, so it is clear context without full exclusion guidance.

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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