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

With no annotations, the description carries the disclosure burden. It explains that results are scored, lists the returned fields (title, description, series, links), and implies that search results are not full records by directing the agent to get_book. This is solid behavioral transparency for a read-only search tool, though it does not discuss auth, rate limits, or edge cases.

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 tightly written sentences with no filler. The core action and result shape are front-loaded, and the follow-up instruction about get_book earns its place by clarifying result granularity.

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?

There is no output schema, so the description appropriately explains the main return fields and directs users to get_book for full records. It is complete enough for correct invocation, though it could be slightly stronger by explicitly addressing how it differs from find_books_for_topic or by noting any pagination behavior.

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%, so the baseline is 3. The description adds the 'full-text' and 'scored' context and mentions that series appears in results, but it does not add meaningful parameter-level semantics beyond what the schema already documents.

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 states a specific operation ('Ranked full-text search'), a clear resource ('catalog of practical books on working with AI'), and the nature of results ('scored results'). It also distinguishes itself from get_book by directing users there for the full record, so an agent can tell what this tool does without opening the schema.

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 clear context for when to use this search tool and explicitly routes follow-up full-record needs to get_book via 'Follow a result's apiUrl or call get_book for the full record.' It does not explicitly compare against find_books_for_topic, but the full-text/search framing makes the primary use case clear.

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