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list_categories

Retrieve all taxonomy categories including IDs, names, descriptions, and mode counts for AI failure mode analysis.

Instructions

List all taxonomy categories with their IDs, names, descriptions, and mode counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It transparently states the tool returns all categories and lists the exact fields included, which is sufficient for a simple read-only listing. It does not discuss permissions, pagination, or side effects, but for this straightforward operation the description is informative.

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?

The description is a single, front-loaded sentence that states the action and output fields without any padding. Every word contributes to the meaning.

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?

Given no output schema and no annotations, the description provides the essential return fields (IDs, names, descriptions, mode counts). It is complete enough for a simple list-all tool, though it omits potential details like pagination or ordering, keeping it from a perfect score.

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 input schema has zero parameters, and the description adds no parameter-related details. Per the rubric, a baseline of 4 is appropriate when there are no parameters, since there is nothing to explain.

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?

The description clearly states the tool lists all taxonomy categories and specifies the returned fields (IDs, names, descriptions, mode counts). This specific verb+resource combination distinguishes it from sibling tools like list_modes and search_failure_modes.

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?

No explicit guidance is given on when to use this tool versus alternatives. The context is implied by the name and description—use this to list categories rather than modes or failure modes—but no alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.