Skip to main content
Glama

NeedAnAI — AI tool catalogue

List categories or tasks

list_taxonomy
Read-onlyIdempotent

All category or task slugs with names and live tool counts. Use the slugs as filters for search_tools and recommend_for_task.

Input Schema

NameRequiredDescriptionDefault
kindYes

Output Schema

NameRequiredDescriptionDefault
kindYes
itemsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only one behavioral detail beyond that — that counts are 'live' — and says nothing about caching, ordering, or how counts are computed. With annotations carrying the burden, a 3 is appropriate.

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 first states what is returned, the second states what to do with it. No filler, and the payload description is front-loaded ahead of the usage pointer.

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 an output schema present, the return shape needn't be explained, and the required enum parameter is trivial. Purpose, content, and downstream use are all covered; only the practical meaning of 'categories' versus 'tasks' for this registry is left implicit, which is a minor gap for a one-parameter read tool.

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?

Schema description coverage is 0%, so the description must carry the parameter meaning — and it does by naming both concepts ('category or task') matching the required 'kind' enum. The distinction between a category and a task is left to the enum values themselves, but for a single self-describing enum parameter this is adequate.

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 exact resource returned ('All category or task slugs with names and live tool counts'), which is a specific noun-plus-contents statement rather than a restatement of the title. It implicitly separates itself from sibling tools like get_tool and search_tools by describing a taxonomy enumeration, though it never explicitly contrasts with them.

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 actionable downstream context: 'Use the slugs as filters for search_tools and recommend_for_task,' which tells the agent this is a discovery/enumeration step feeding two named siblings. It lacks an explicit when-not or a statement like 'call this first if you don't know the slugs,' so usage is strongly implied rather than fully spelled out.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources