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List categories, tags or authors

list_taxonomy
Read-onlyIdempotent

The category tree, every tag in use, or every author with a published control — each with its slug and how many controls it has. Use the slugs as filters in list_components.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesWhich list to return.

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?

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. With no output schema, the description helpfully discloses the return shape ('each with its slug and how many controls it has'), though it omits pagination or ordering behavior.

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 tight sentences; the resource enumeration and return-shape detail come first, with the downstream usage hint last. No wasted words.

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 single-enum read-only tool with no output schema, the description covers purpose, return contents, and the follow-up use of slugs. Slight gap in ordering/pagination details but nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the enum values are self-explanatory, so the schema does the heavy lifting. The description restates that each option selects a different list but adds no new meaning beyond the enum.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (list) and three concrete resources (category tree, tags in use, authors with published controls) and specifies what each returned item contains (slug and control count). An agent can distinguish this from list_components immediately.

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?

Explicitly tells the agent why to call it – to obtain slugs used as filters in list_components – which implies the downstream workflow. It does not state when to prefer this over siblings like list_components or search, but the 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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