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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds meaningful context beyond annotations: prepaid per-query pricing, official-source nature, non-confidential data status, and LGPD data-controller responsibilities. It does not explain response behavior or credential handling, but adds useful operational context.

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 compact and front-loaded with the tool's purpose. Each sentence adds operational or legal context, though the legal phrasing is slightly dense. There is no wasted content.

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?

With no output schema, no parameter descriptions, and four parameters, the description should explain inputs and expected results. It covers payment and legal context but omits parameter semantics and return behavior, leaving significant gaps 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 mention placa, renavam, login_cpf, or login_senha. The agent receives no guidance on parameter formats, required credentials, or how the parameters relate to the query. The description adds no semantic value for parameters.

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 opens with 'DETRAN AC: Veículo, consulta em fonte oficial', clearly identifying a query/read operation for vehicle data from DETRAN AC. The verb 'consulta' and resource 'Veículo' are specific, and the DETRAN AC scope distinguishes it from the generic 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 provides clear operational context: hosted by the platform, no platform credentials required, prepaid credit per query, and official/public data. It does not explicitly name alternatives or exclusions, but the intended use case is clear from the context.

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