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

With no annotations, the description carries the behavioral disclosure burden. It does disclose the return shape ('structured capability slugs') and the purpose, and the verb 'list' strongly implies a read-only operation. It does not mention ordering, exhaustiveness, or availability, but those are minor for a taxonomy listing.

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?

A single sentence that front-loads the result format and follows with the intended use case. There is no filler, repetition, or ambiguous extra detail.

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-parameter listing tool with no output schema, the description adequately explains what is returned and why it would be used. It could be slightly more explicit about pairing with filtering/search sibling tools, but 'for precise filtering' already conveys that relationship.

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, so the description does not need to document parameter semantics. The description adds useful context about why the returned data exists, which is sufficient at the baseline for a parameterless tool.

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 states a specific verb ('list') and resource ('capability taxonomy'), and clarifies the output format ('domain.capability slugs with aliases'). It is clearly distinguishable from the sibling tools, none of which list capabilities.

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 phrase 'for precise filtering' implicitly tells the agent when to use the tool: when it needs exact capability slugs. However, it does not explicitly state when not to use it or how it relates to sibling tools like search_agents or resolve_agent.

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