Google Books — Search volumes

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

No annotations were provided, so the description carries full burden for behavioral disclosure. It is read-only-ish (a search), but the description doesn't clarify rate limits, whether this is a free/public Google Books API without authentication, or how results are returned. It adds no behavioral context beyond the basic search action already evident from the name.

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 a single efficient sentence that captures the core capability without waste. It front-loads the verb+resource and packs the field support examples concisely. Could arguably benefit from one more sentence about limiting conditions, but as-is it is appropriately lean.

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?

With 13 parameters, no output schema, and no annotations, the description is minimal. The rich parameter schema compensates heavily (100% coverage), and for a read-only search tool the description is arguably adequate. However, it doesn't explain result meaning, pagination semantics, or when maxResults/startIndex interplay matters, leaving completeness somewhat thin for such a parameter-rich tool.

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 coverage is 100%, so each of the 13 parameters already has a solid description, raising the baseline. The description adds marginal value by explaining that intitle/inauthor are structured fields beyond what individual parameter schemas state individually. The 'general query' phrasing clarifies that q is a catch-all integer search, complementing the schema.

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?

Description states 'Search Google Books volumes' with a specific verb+resource and mentions the structured field support (intitle, inauthor, etc.) alongside general query capability. It clearly distinguishes from sibling tools like books_openlibrary_search and books_search_across_all in terms of provider (Google Books) and operation type (search), though it doesn't explicitly name the sibling alternatives.

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 implies the tool handles both structured-field and general-query searches but provides no explicit when-to-use guidance or exclusions versus sibling search tools. Given siblings like books_search_across_all and books_openlibrary_search exist, there's no statement clarifying when to prefer this Google Books-specific search over the aggregate or OpenLibrary alternatives.

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