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Pesquisar obras

search_books

Pesquisa as obras por título, sinopse, gênero, tema, pergunta de leitura ou afinidade temática com autores de referência.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesConsulta em linguagem natural.
themeNoTema opcional para restringir a busca.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about result limits, ranking/relevance behavior, pagination, or what the response looks like. 'Pesquisa' implies a read-only operation but this is never stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted framing — the verb and resource come first. The enumerations are dense (comma-separated field list) but serve the purpose of scoping search behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter search tool with no output schema and no annotations, the description covers what is searched but omits how results are returned, ranked, or limited. It is minimally viable but leaves behavioral gaps the structured fields cannot fill.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters are documented in the schema, so baseline 3 applies. The description does add value by explaining which fields the natural-language query can match against, and 'tema' appears in its field list matching the theme parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (Pesquisa) and resource (obras), and enumerates the fields searched (título, sinopse, gênero, tema, pergunta de leitura, afinidade temática). An agent can distinguish it from list_books (enumeration) and get_book (single fetch), though it does not name those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives no when-to-use or when-not-to-use guidance and no alternative routing. Nothing tells the agent why to prefer this over list_books or recommend_by_affinity, so the choice is left to inference.

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

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