list_categories

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

No annotations are supplied, so the description carries the burden. It does disclose the response composition (category descriptions and topic counts), which is genuinely useful since there is no output schema, but says nothing about ordering, pagination, or whether categories are scoped by workspace — 'list all' implies no pagination but does not confirm it.

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?

One sentence, front-loaded with the verb and resource, with the return payload appended. Nothing superfluous.

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 zero-required-parameter read tool with no annotations and no output schema, the description covers what the tool does and what comes back, which is enough to call it correctly. Only language-fallback and ordering behavior are left unspecified.

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 single optional 'lang' parameter is fully documented in the schema (100% coverage), so the schema does the heavy lifting. The description adds nothing about language behavior — e.g. whether missing translations fall back to English — which is the one semantic gap the schema leaves open.

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 a specific verb and resource ("List all documentation categories") plus the payload it returns (descriptions and topic counts). This is clearly separable from list_topics and search_docs by the resource noun alone, though it never names a sibling to sharpen the distinction.

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 when-to-use or when-not-to-use guidance, and no alternative is mentioned. An agent must infer that this is a discovery/overview call versus list_topics or search_docs entirely on its own.

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