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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description complements this by disclosing that it is a paid service with prepaid credit, that no platform credentials are needed, and that the client is the data controller under LGPD. This adds value beyond the annotations by clarifying operational and legal aspects. No contradiction detected.

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 paragraph of three sentences. It is concise and front-loaded with the tool's purpose. However, it includes additional context (LGPD, payment) that, while useful, is not essential for tool invocation. It could be slightly more structured, but overall it is efficient with minimal waste.

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?

The tool has six optional parameters and no output schema. The description explains the source, payment model, and legal compliance, which provides a good overview. However, it does not clarify expected inputs (which parameter combinations are valid, required formats, pagination via 'pagina') or the nature of the response (e.g., debt details, status codes). Given the absence of output schema and parameter descriptions, the description is not fully complete for effective 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?

The input schema lists six parameters (cda, cpf, cnpj, chassi, pagina, renavam) with no descriptions. The tool description does not explain any of these parameters, their formats, or usage. Schema description coverage is 0%, and the description fails to compensate. The parameter meanings can be inferred from typical Brazilian debt queries, but the agent receives no explicit guidance.

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 clearly states the tool is for consulting Dívida Ativa (active debt) in the official source of the Mato Grosso State Attorney General's Office. It distinguishes from generic tools by specifying the government entity and the type of query, though it does not explicitly differentiate from sibling tools (which are unrelated infrastructure tools).

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 explains that the tool queries official Brazilian sources and is not for confidential data, and mentions payment via prepaid credit. It implies usage for legitimate debt verification but does not provide explicit when-to-use or when-not-to-use scenarios or alternative tool references. Given siblings are unrelated, some context is provided but exclusions are missing.

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