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joke_categories

Read-onlyIdempotent

Retrieves available categories from JokeAPI so you can choose a topic before requesting jokes.

Instructions

List available joke categories from JokeAPI.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds only the data source (JokeAPI); it doesn't say whether the result is a static enumeration or whether values map directly to joke_random filter arguments.

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?

A single front-loaded sentence with no filler. It is efficient but arguably too terse, leaving room for one clause about the returned values at no structural cost.

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 zero-param, annotation-rich, no-output-schema tool this is nearly sufficient. The only gap is that it doesn't connect the returned categories to joke_random's category parameter, which would make the tool chain obvious.

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 tool takes zero parameters, so the baseline is 4. Nothing in the description needs to compensate for schema gaps, and none exists.

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?

Clear verb+resource: 'List available joke categories from JokeAPI.' An agent knows exactly what it returns. It does not, however, differentiate itself from siblings like joke_random or category-listing tools such as trivia_categories/chuck_categories.

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?

Usage is only implied — one can infer this is a discovery call to enumerate valid categories before calling joke_random. There is no explicit 'use this when …' statement or mention of the alternative path.

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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