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

Annotations indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the agent already knows it's a safe read operation. The description adds valuable behavior: it discloses that the data is not confidential, it's the same available to citizens, and that the client is the data controller under LGPD. It also mentions payment via prepaid credits, which is crucial for understanding side effects (costs). No contradictions.

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 block of text, fairly concise, but it packs many pieces of information without clear structure. It is front-loaded with the purpose, but the legal and payment disclaimers, while important, are not separated. It could be more organized with bullet points or short paragraphs.

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 (15 params, no output schema, no enums), the description is not complete enough. It fails to explain what the tool returns (the information sought), the expected format for parameters like dates or URLs, or how to handle auth. The legal context is useful but does not compensate for the lack of parameter documentation.

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 the meaning or format of any of the 15 parameters. The parameter names like 'usuario', 'senha', 'ait', 'url_formulario' are self-explanatory to some extent, but the description adds no value. For a tool with 15 parameters, this is a significant gap.

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 this tool is for consulting driver identification (Identificação de Condutor Infrator) using an official source. It specifies the domain (DNIT) and the action (consult). It distinguishes from siblings, which are not related to this query, though it doesn't explicitly name a specific alternative.

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 implies this is a lookup service for Brazilian official data, but does not explicitly say when to use it vs. alternatives. It provides context about being hosted and payment model. No explicit exclusions or alternative tool references.

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