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The questions the enquiry asks

enquiry_fields

Every field of the Sauna Cold Plunge Compare enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. To its credit it discloses the shape of the returned data in detail (key, label, type, required, help text, options), which is the main behavioral fact for a zero-argument getter, but it says nothing about read-only nature, scoping (why specifically the 'Sauna Cold Plunge Compare' enquiry), error behavior, or caching.

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?

Two sentences, tightly packed, with the field inventory front-loaded and the submit_enquiry routing instruction second. The opening clause is a verbless noun phrase ('Every field of the ... enquiry:') which is slightly clipped, but nothing is wasted.

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?

With no output schema and no annotations, the description must explain what comes back, and it does so by enumerating the returned properties. It is nearly sufficient for an agent to call and consume the tool; only the absence of any note on the specific enquiry scope and failure modes keeps it from a 5.

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 the schema baseline is 4. The description correctly adds no parameter narrative and instead spends its words on the returned keys, which is the relevant semantic payload here.

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 names the resource precisely (every field of the Sauna Cold Plunge Compare enquiry) and enumerates exactly what each entry contains: key, label, type, required flag, help text, and allowed options. It is unmistakably distinguishable from dataset_* siblings, though it never states the verb explicitly ('returns'/'lists') and does not contrast itself with enquiry_describe.

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?

It gives a concrete downstream usage rule: 'Pass answers to submit_enquiry keyed by field key,' which tells the agent this tool is the prerequisite discovery step before submit_enquiry. There is no explicit when-not guidance or comparison with enquiry_describe, so it stops short of a 5.

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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