Get blog categories

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safe, open-world read behavior is covered. The description adds only output content ('slugs and post counts'), not additional behavioral traits such as pagination or authentication; it neither contradicts nor goes beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

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

The description is a single, front-loaded sentence: 'List the categories...' followed by the relevant output details. Every piece of information earns its place, with no redundancy or unnecessary length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, read-only, parameterless tool with an output schema present and annotations covering safety and open-world semantics, the description is complete. An agent has everything needed to invoke it correctly and interpret the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema coverage is effectively 100% (empty schema). The description does not need to explain any inputs, so the baseline of 4 for a no-parameter tool is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'List' with a clear resource, 'categories blog posts are filed under,' and specifies the returned fields ('slugs and post counts'). It is unambiguous and naturally distinguishes from the sibling tool repovive_list_posts, which lists posts rather than categories.

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

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

The description implies usage when one needs blog categories, but it provides no explicit when-to-use guidance or discussion of alternatives. Since the tool's purpose is self-evident and no competing sibling handles categories, a score of 3 reflects the implied, rather than stated, usage context.

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