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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the data is crawled, discovered as a byproduct of the books crawl, and is not a complete catalog. It does not discuss coverage gaps per field or freshness, but the provenance caveat is substantive.

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?

One front-loaded sentence with the verb and resource first, followed by field enumeration and scope caveat. The em-dash parenthetical is slightly dense but every clause carries information; nothing is padded.

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?

An output schema exists, so return-value explanation is not needed, and annotations cover safety. Combined with 100% schema coverage, the description's job is mainly to convey dataset scope and provenance, which it does. Minor gap: no note on how the dataset relates to the sibling books/author endpoints.

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% with 9 well-documented parameters (q, name, page, sort, genre, run_id, page_size, min_rating, min_ratings_count), so the schema carries parameter meaning. The description adds no parameter-specific guidance, so the baseline of 3 applies.

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 (Goodreads authors dataset) and enumerates the fields available on each author (bio, dates, website, genres, aggregate rating). It does not name sibling tools like datasets_goodreads_authors_item or _facets, so differentiation from them is left to the agent.

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 verb 'Search' and the field list imply a filtered author lookup, and the caveat 'not a full catalog' hints at a scope limit. However, there is no explicit when-to-use, when-not-to-use, or routing to siblings such as the item/facets endpoints.

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