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

Annotations include readOnlyHint=true, and the description reinforces it by stating it is a 'consulta' (query). The description adds useful behavioral context such as payment via credits and data controller responsibilities under LGPD, which goes beyond the annotations, but does not detail response behavior or rate limits.

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 that is concise and covers multiple essential points (official source, payment mechanism, data responsibility). It is front-loaded with the tool's purpose and avoids unnecessary fluff, though it could be slightly more structured with bullet points.

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 tool's complexity (7 parameters, 0% schema coverage, no output schema) and lack of annotation detail beyond readOnly/idempotent hints, the description leaves significant gaps: it does not explain parameter semantics, expected input formats (e.g., certificate paths), or response data. It does not fully prepare the agent 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 description coverage is 0%, and the description does not explain any of the 7 parameters. Terms like 'chave_infracao', 'login_cpf', and 'pkcs12_cert' are not defined; while some are self-explanatory to domain experts, others are ambiguous. The description must compensate for the low coverage but fails to do so.

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 the tool 'Download Infração, consulta em fonte oficial' indicating a query operation for traffic infractions from official Brazilian sources. However, it does not clearly elaborate on what specific aspects of an infraction are downloaded or how it distinguishes itself from potential sibling 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 payment is via prepaid credits and that it uses official sources, giving some context on when to use it (for legitimate data consultation). It does not explicitly specify when not to use it or mention alternatives, but the context is sufficient for a basic understanding.

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