categories

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

No annotations are present, and the description labels the tool as a list operation, which implies read-only behavior. It discloses that counts are returned and offers workflow context, but it does not define what the counts refer to or any edge behavior such as empty results. This is adequate but minimal for a zero-parameter query tool.

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?

Two tight sentences with the primary action front-loaded and the workflow hint in the second sentence. No filler or redundant restating of the schema.

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 no-parameter list tool with an output schema available, the description covers what the tool returns ('categories with counts') and when to use it. Nothing needed to invoke it correctly is missing.

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 takes no parameters, so there is no schema burden for the description to carry. The description's focus on purpose is sufficient given the empty input schema, matching the baseline for zero-parameter tools.

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?

States an unambiguous action — 'List all existing categories with counts' — with a direct object and expected payload. The verb 'List' separates it from sibling normalize/write tools even without naming them.

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?

Explicitly instructs to call before adding findings so category names are reused consistently, giving clear situational context. It does not state when not to use it or name an alternative like categories_normalize, so it stops short of a full 5.

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