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The questions the enquiry asks

enquiry_fields

Every field of the SEO for accountants 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

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the return shape (the field breakdown) despite there being no output schema, and its phrasing implies a non-mutating read. It does not state explicitly that no arguments are needed or whether the field set is static, but the intent is reasonably clear.

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, front-loaded with the returned data shape and closed with the downstream action. Every clause carries information; nothing is padded.

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, the description compensates by enumerating the returned fields and the keying convention for submit_enquiry, which is what an agent needs to chain the calls. The remaining gap is the lack of any contrast with enquiry_describe, leaving sibling selection under-specified.

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 baseline is 4. The description adds useful output semantics (the key/label/type/required/options tuple) that an agent needs in order to interpret results, even though no input semantics are required.

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?

States a specific resource (the enquiry's fields) and enumerates exactly what each returned field contains: key, label, type, required flag, help text, and options. This is concrete and verb-less but the resource is unambiguous. It does not, however, differentiate itself from the sibling enquiry_describe, which likely also describes the enquiry.

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

Usage Guidelines3/5

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

The second sentence routes the agent to submit_enquiry and specifies the keying convention (by field key), which implies the workflow: fetch fields, then submit keyed answers. It never states when this tool should be chosen over the sibling enquiry_describe, so the usage guidance is implied rather than explicit.

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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