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

Annotations include readOnlyHint=true, which indicates a non-destructive operation. The description adds behavioral context by stating it is 'free, AI-generated, rate-limited,' disclosing both the nature of output and the existence of rate limits. This goes beyond the annotation's basic safety signal, though it could be enhanced with details about output size or caching behavior.

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 concise and efficiently worded, with only one sentence and a brief parenthetical. The opening 'FAQ Generator:' is redundant with the title but does not waste much space. The key information is front-loaded, and every part adds value, though the redundancy could be trimmed.

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?

The tool is simple (one parameter, no output schema) and the description adequately conveys its purpose and output nature (a set of Q&As). It includes practical details like free and rate-limited. Without an output schema, the description does not fully detail the response structure, but for this type of generator tool, it is reasonably complete.

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?

Schema has 0% description coverage, with only a 'topic' string parameter. The description compensates by indicating the topic is the subject of the FAQ generation ('for a topic'). This provides meaning beyond the schema's bare type definition, though it doesn't specify expected format or examples. For a single parameter, this is sufficient.

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 function: 'Generate a set of frequently asked questions and answers for a topic.' The verb 'Generate' and resource 'frequently asked questions and answers' are specific and distinguish it from sibling tools like ad-copy-generator or blog-keyword-generator. The parenthetical adds further context about being free and AI-generated, reinforcing the purpose.

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?

No usage guidance is provided. The description does not mention when to use this tool versus alternatives, nor does it give examples of appropriate use cases. It only states what it does, leaving the AI agent to infer when to select it. With many sibling generator tools, explicit guidance is needed.

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