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

Annotations already indicate readOnlyHint=truehol, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds valuable context that this is an official source, hosted by the platform, requires prepaid credit per query, and involves LGPD data controller responsibilities—important for legal and cost implications. It also clarifies that data is not confidential, which is useful.

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, which is reasonably concise. However, it front-loads the source and platform details but omits usage specifics, leading to some redundancy. It could be more structured, but it effectively communicates key selling points. No waste, but not perfectly formatted.

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?

Given the complexity (8 parameters with mixed auth methods) and lack of output schema, the description does not explain how to authenticate (login/password vs certificate), what 'guia_pagamento' is, or what the response contains. However, the description covers the essential context: official source, credit-based payment, LGPD compliance, and non-confidential data. It misses return format details but that's compensated by the clarity of the tool's purpose.

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 0%, but the description does not explain any parameter semantics. However, the schema includes a mix of identifiers (placa, renavam, cnpj) and authentication credentials (login_cpf, login_senha, pkcs12_cert, pkcs12_pass) and a 'guia_pagamento' parameter. Without explanation, the agent may not know which parameters are needed together (e.g., certificate vs login). A baseline of 3 is set because the schema provides property names, but the description does not add meaning beyond that.

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 it consults DETRAN RS infractions from an official source, but it lacks specificity about the exact operation (e.g., what kind of query: by plate, by fine ticket, etc.) and does not differentiate from siblings. The verb 'consultar' is clear but vague, and sibling tools are not similar, so there's no direct need to distinguish.

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?

There is no explicit guidance on when to use this tool versus alternatives. It mentions it is from an official source and requires prepaid credits, but does not state when one should prefer this over other methods. Siblings include unrelated tools like 'connect' and 'authenticate', so there is no explicit exclusion.

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