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

Annotations already set readOnlyHint=true, so the read-only nature is known. The description adds the REST endpoint and the AI Voice feature context, which is useful but limited. It doesn't disclose potential nuances like authentication requirements, rate limits, or behavior for calls without AI topics. Given the annotations cover the safety profile, the description adds some value but not extensive behavioral detail.

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, concise sentence that front-loads the core purpose and adds the REST endpoint for precision. Every word earns its place, with no redundant content.

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?

This is a simple read-only tool with one required parameter and no output schema. The description clearly conveys what the tool does and how to call it via the endpoint. With good annotations and a fully documented schema, the description is nearly complete. It could mention the structure of the returned topics but that isn't essential for this simple operation.

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 fully documents the only parameter 'id' with the description 'The call id.' (100% coverage). The description's REST endpoint path confirms id is used as a path variable but adds no new semantic meaning beyond the schema. This meets the baseline of 3.

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 tool's purpose: 'Get the AI-detected topics of a call' with the Aircall AI Voice feature context. The REST endpoint GET /calls/{id}/topics further clarifies the resource. It distinguishes from sibling tools like aircall_get_call_sentiments and aircall_get_call_summary by specifying exactly which AI output is retrieved.

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 provides clear context for when to use this tool (to retrieve AI-detected topics for a call). It doesn't explicitly exclude alternatives or mention sibling tools, but the specificity of 'topics' and the reference to the Aircall AI Voice feature make the intended use obvious. No when-not-to-use guidance is provided, so not a 5.

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