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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds genuinely useful behavioral context beyond them: the data's provenance (curated lists, search sweep, author bibliography expansion) and the explicit limitation that it is not a full catalog, which manages expectations about recall.

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 front-loaded sentence that opens with the core action and resource. The long parenthetical about provenance is dense but carries real information about coverage; it is not waste, though it makes the sentence heavy.

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 20-parameter read-only search with a 100% covered schema and an output schema, the description's job is narrow. It supplies the dataset scope and provenance caveat, and the schema plus annotations handle parameters, pagination, and return shape.

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 description coverage is 100%, and the schema itself documents every parameter including sort values and pagination limits, so the baseline is 3. The description adds no extra parameter meaning beyond what the schema provides.

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?

States a specific verb (Search) and resource (the Goodreads books dataset), and enumerates the fields covered (title, authors, series, genres, ratings/reviews). It does not name the sibling tools (datasets_goodreads_books_item, _facets) to differentiate scope, so it falls short of a 5.

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 gives no when-to-use or when-not-to-use guidance and never points to alternatives such as the item or facets siblings. The note that the catalog was assembled from curated lists and is 'not a full catalog' is scope context, not usage routing.

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