list_categories

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It correctly describes the operation as a listing of categories with counts, and there is no indication of destructive or side-effect behavior. However, it does not explicitly mention limitations such as whether all categories are included, ordering, or whether the data is live or cached.

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 that states the core purpose and then provides illustrative examples. There is no filler or redundant wording, making it easy for an agent to parse quickly.

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, parameterless listing tool, the description covers the essential information: what is being listed and what is returned. It could be slightly more explicit about the relationship to the broader catalog and whether the category list is exhaustive, but the examples with an ellipsis suggest the category set is open-ended.

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 input schema has zero parameters, so parameter-level documentation is unnecessary. The description adds meaningful context about what the categories represent through its examples, which is sufficient for a parameterless list operation.

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 clearly states the action ('List catalog categories') and the output ('how many entries each has'), which makes the tool's purpose easy to understand. It does not explicitly compare itself to siblings like list_catalog or get_catalog_entry, so some differentiation is left to inference.

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?

There is no guidance about when to use this tool versus the many sibling tools that deal with catalog data, such as list_catalog or get_catalog_entry. The intended use case is implied by the purpose, but no explicit when-to-use or when-not-to-use information is provided.

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