Skip to main content
Glama

Find comedy subjects and styles

list_comedy_topics
Read-onlyIdempotent

Find the catalog's canonical SUBJECT topics and STYLE categories, including aliases and scoped counts of transcript-reviewed specials. Search an interest such as dating to resolve its canonical slug, then pass topicSlug/styleSlug to search_comedy_specials. Coverage is partial: a topic describes material within a special, not every track, cleanliness, or the comedian's beliefs. Paginated; no new categories are generated.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_comedy_topics"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindNo
limitNo
queryNo
offsetNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds genuinely new behavioral context: coverage is partial (a topic describes material within a special, not every track, cleanliness, or the comedian's beliefs), results are paginated, and no new categories are generated. It does not detail how the scoped counts are computed or pagination limits, keeping it below 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the resource definition before the workflow and the coverage caveat. Dense but every sentence contributes; the only cost is that the caveat sentence packs several distinct qualifiers into one line.

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, return shape need not be explained, and the description supplies the missing usage and coverage semantics an agent needs. The remaining shortfall is parameter-level detail (limit/offset bounds) that neither the schema nor the description documents.

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 0%, so the description must carry the load, and it only partly does: it explains the 'query' use case ('search an interest such as dating') and implicitly the SUBJECT/STYLE enum via its opening clause, plus mentions pagination for offset/limit. It says nothing about the limit default of 3 / maximum of 8 or what offset paginates over, leaving real gaps.

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 ('Find the catalog's canonical SUBJECT topics and STYLE categories') and distinguishes the two kinds it returns, including aliases and scoped counts. An agent can tell this apart from the get_/search_ siblings 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 Guidelines4/5

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

Gives an explicit workflow: search an interest such as 'dating' to resolve its canonical slug, then pass topicSlug/styleSlug to search_comedy_specials. That routes the agent to the correct downstream sibling. It stops short of naming when NOT to call this tool (e.g., when a slug is already known), so it is clear context rather than full when/when-not guidance.

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