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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description goes beyond by explaining it's hosted on the platform, requires prepaid credits for payment, and that it accesses official public data. This adds value, but it doesn't fully cover all behavioral implications, such as potential response delays or legal complexities beyond the LGPD note.

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 concise and front-loaded, with the essential information in the first sentence. It covers payment, data source, and legal considerations in a single paragraph without unnecessary verbosity. Every sentence adds context, making it appropriately sized.

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 moderate complexity (querying official Brazilian data) and the lack of output schema, the description provides sufficient context on the data source and legal aspects. However, it misses critical operational details like response format, possible errors, or rate limits, which are important for an agent to handle results correctly. The description is adequate but not fully comprehensive for all scenarios.

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?

The schema has 0% coverage and only defines 'placa' and 'renavam' as strings with no descriptions. The description mentions the tool requires these fields but does not explain the meaning, format, or validation rules. For example, it doesn't specify that 'placa' is a vehicle license plate or that 'renavam' is a vehicle registration number, nor does it outline format requirements, which is a significant gap given low schema coverage.

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 queries multas (fines) from an official DETRAN-AM source, using a specific verb 'consulta' and a resource. It distinguishes itself from sibling tools by focusing on a specific domain (DETRAN-AM multas) and mentions it provides the same info available to citizens, differentiating it from other tools that may offer different data.

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 about the tool's purpose but lacks explicit guidance on when to use it versus alternatives. It doesn't mention any prerequisites or situations where it shouldn't be used. Sibling tools are generic (authenticate, connect, etc.) and don't overlap, so some implicit distinction exists, but no explicit when-to-use guidance is given.

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