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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 Wärmepumpe Kosten Europa: 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 full behavioral burden and does well: it states nothing is bought, ordered or paid, no quote is guaranteed, and the service is free, plus it discloses the return content (recipient details, consent wording, confirmation steps). The only gap is that it never states the tool is a read-only, side-effect-free lookup in its own right.

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 the imperative "Read first." and then three compact sentences that each convey distinct information (what it describes, what does not happen, what is returned). Mildly meta in phrasing but no real waste.

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?

No output schema exists, so the description must explain the return content, and it does: recipient identity, consent wording, and confirmation steps. It is complete enough to call the tool safely, though it could more explicitly characterize the return format.

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 takes zero parameters, so per the rubric the baseline is 4. There is nothing further for the description to disambiguate.

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 purpose: this tool plainly states what submit_enquiry does, including who receives the details, the consent wording, and the confirmation flow. It distinguishes the enquiry mechanism from a purchase or guaranteed quote. It is clear, though it frames itself as an explainer of a sibling (submit_enquiry) rather than directly naming its own resource.

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" gives an explicit sequencing cue relative to submit_enquiry, telling the agent to consult this before submitting. Context is clear, but no explicit exclusions or comparison against enquiry_fields (a plausible alternative for field-level questions) are given.

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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