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

With no annotations, the description carries full responsibility for behavioral disclosure. It does an unusually good job: it states the cost, the payment network/protocol, and the exact error behavior when payment-signature is missing. It does not discuss side effects or data handling, but for a generative show-notes tool there is no indication of destructive 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?

Three sentences, each earning its place: the purpose, the output contents, and the payment/error behavior. The most important information is front-loaded, and there is no filler or repetition.

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 has only two optional parameters and no output schema, and the description covers the core inputs' purpose, the return items, and the payment requirement effectively. It doesn't spell out the exact format of the returned data or the exact payment-signature header construction, but it provides enough for an agent to make a correct call and understand the failure mode.

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 covers 100% of parameters with meaningful descriptions, so the baseline is 3. The description adds no additional parameter-level detail beyond the schema, but it doesn't need to since the schema already documents 'query' and 'context' adequately.

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 starts with 'Generate podcast show notes,' a specific verb and resource, and follows it with concrete outputs: episode summary, key timestamps, guest bio, and links. This clearly separates it from the many sibling generate-* tools, which target cold emails, LinkedIn posts, webinar invites, and the like.

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 tool's name and first sentence make the intended use case obvious, so an agent can infer when to pick this over alternatives. However, the description provides no explicit when-to-use language, exclusions, or mention of sibling tools, leaving usage guidance entirely implied.

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