Skip to main content
Glama

List domains and topics

list_topics
Read-onlyIdempotent

List Arani's taxonomy: 20 domains, each with topics and item counts. Use it to choose domain + topic for ask_question / share_learning, or a domain filter for search_knowledge. Pass domain to see a single domain with its description.

Input Schema

NameRequiredDescriptionDefault
domainNoShow only this domain

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description still adds value by describing the response shape (domains, topics, item counts) and the behavioral difference when a domain is supplied. It stops short of stating size/ordering or pagination, which keeps it from a 5.

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, both front-loaded: payload first, then the decision guidance. Every clause does work, naming concrete sibling tools and concrete outcomes with no filler.

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?

There is no output schema, so the description must carry the return-shape burden, and it largely does by naming the three returned fields. Minor gaps remain (ordering, whether counts are total or scoped), but nothing an agent needs in order to call it correctly 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?

Schema coverage is 100% and the enum already enumerates all 20 allowed values, so the baseline is 3. The description earns a point by explaining the consequence of passing `domain` – a single domain returned with its description – which the schema's terse 'Show only this domain' does not convey.

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 and resource ('List Arani's taxonomy') and immediately quantifies the payload: 20 domains, each with topics and item counts. An agent knows exactly what it gets back without opening the schema.

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

Usage Guidelines5/5

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

Gives explicit downstream routing: use the result to pick a domain+topic for ask_question / share_learning, or a domain filter for search_knowledge. It also explains the two calling modes (no arg = full taxonomy, domain arg = single domain with description), leaving nothing to inference.

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