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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is fully covered. The description adds the useful pipeline detail that output is ISBN ids fed into fetch, but since an output schema exists, return-format disclosure is largely redundant; nothing is said about result limits or empty-result behavior.

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 English sentence is well front-loaded and efficient. The Portuguese sentence is a verbatim translation that repeats the same purpose, return type and fetch hand-off, adding no new information for the agent and roughly doubling length.

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 one fully documented parameter, an output schema, and complete safety annotations, the description covers purpose, output type and next step adequately. Minor gaps (whether query is free-text across fields, result caps) are not critical for correct invocation.

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% with a single required query field, so baseline is 3. The description adds real meaning by specifying that the query may target topic, title or author, which the schema's generic 'Search query' does not convey.

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 and resource (search Editora Blucher's book catalog) plus the searchable dimensions (topic, title, author) and the publisher's domain. It also differentiates from siblings by naming buscar_livros as the same engine and pointing to fetch as the downstream step.

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 a clear workflow context: results are ISBN ids intended to be passed to fetch. It stops short of saying when to prefer this over buscar_livros (it only notes they share an engine) or over catalogo_facetas/obter_livro, so the agent must infer that they are interchangeable.

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