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The questions the enquiry asks

enquiry_fields

Every field of the AI Sandbox Environments 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

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

No annotations exist, so the description carries full burden, and it does describe the return shape in detail — useful since there is no output schema. It implies a read-only enumeration without stating it outright, and says nothing about caching or whether the field set is static, which are minor gaps for a zero-parameter lookup.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. The content enumeration comes first and the actionable submission hint second, which is the right order for an agent that needs to know what it will get before it plans next steps.

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

Completeness5/5

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

For a zero-parameter read tool with no output schema, the description supplies the return-value semantics and the link to the write tool. Nothing an agent needs in order to call it and use the result is missing.

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 no parameters (schema coverage 100%), so baseline is 4. The description correctly adds the downstream keying convention ('keyed by field key') that explains how the returned 'key' value is consumed.

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 scopes the tool to the AI Sandbox Environments enquiry and enumerates exactly what each returned field carries (key, label, type, required, help text, options). The verb is implicit rather than stated ('Every field of...'), and it does not explicitly contrast itself with the sibling enquiry_describe, but an agent can still tell what it returns.

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 workflow: 'Pass answers to submit_enquiry keyed by field key,' which routes the agent to the correct sibling after calling this one. It does not say when to prefer enquiry_describe instead, but the usage context is clear.

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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