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

No annotations are present, so the description carries the full burden. It discloses the response fields (status, current version, sales count, gross revenue) and the authenticated-author scope, but does not cover potential errors, pagination, or ordering. Still, it goes well beyond a minimal description.

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?

Two concise sentences, front-loaded with the primary purpose, and no filler. The second sentence adds valuable uniqueness context.

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 (zero params) and no output schema exists, so the description must convey the return shape. It does so by enumerating the key fields: status, current version, sales count, and gross revenue. The description is complete enough for an agent to understand what the tool returns and when to invoke it.

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 has zero parameters and schema coverage is 100%, so there is nothing to document. Baseline for zero-parameter tools is 4; the description correctly implies no inputs are required.

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 opens with 'Author dashboard: list every book the authenticated account has authored,' providing a specific verb, resource, and scope. It further differentiates itself by noting it is 'the only way to see how a published book is performing without scraping the public catalog,' distinguishing it from sibling catalog tools.

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 'Author dashboard' framing and 'only way to see how a published book is performing' give clear context for when to use it. However, it does not explicitly name alternative sibling tools or state when not to use it, so it falls short of a 5.

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