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

The description adds meaningful context beyond the annotations (readOnlyHint, idempotentHint): it discloses that no platform credentials are needed, queries are paid via prepaid credits, data comes from official Brazilian sources and is not confidential, and the client bears data controller responsibilities under LGPD. These are useful behavioral traits that the annotations do not capture, though it does not elaborate on error handling 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, coherent paragraph and is not overly verbose. It front-loads the main purpose ('Consultar Multas') and includes relevant contextual details. However, it could be structured more clearly (e.g., separating usage context from legal disclaimers) but is generally efficient.

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 has 6 parameters and no output schema, the description is insufficiently complete. It does not explain what results the query returns, how to construct a valid request, or any prerequisites (e.g., login requirements). The annotations help with safety but not with usage completeness. The description omits essential details for a complex tool.

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%, so the description must fully compensate for parameter documentation, but it does not. It mentions 'tipo_fiscalizacao' and 'login_senha' implicitly but provides no explanation of any of the six parameters (e.g., placa, login_cpf, login_cnpj, cnpj_representado). The description gives no guidance on parameter formats, relationships, or required combinations, leaving the agent without essential information.

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's purpose: 'Consultar Multas' (consult fines) from ANTT SIFAMA, an official source. It specifies the resource (fines) and the action (consult), and it distinguishes itself from the general sibling tools (authenticate, connect, etc.) by focusing on a specific data query. However, it could be more precise about the domain (e.g., 'traffic fines' vs. other types) and the exact scope of what it queries.

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 context (official source, prepaid payment, no platform credentials, LGPD responsibility) but does not explicitly state when to use this tool versus alternatives. It does not mention any exclusions or specific scenarios. While siblings are unrelated, the description lacks direct guidance on when this tool is appropriate or not.

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