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

Annotations declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds meaningful behavioral context beyond these: it is hosted by the platform without credentials, requires prepaid credit per query, and accesses non-confidential official data with LGPD compliance. It also clarifies the client's role as data controller. This adds value without contradicting annotations.

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 with multiple sentences. It leads with the main purpose, then covers payment and legal aspects. While not excessively long, it includes the LGPD sentence which may be extraneous for tool invocation. The structure is acceptable but could be more concise by removing redundant legal phrasing.

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?

The tool has 3 parameters and no output schema. The description does not explain what the tool returns (e.g., fine list, payment slip, status), nor does it elaborate on parameter requirements beyond the schema's required fields. It mentions payment and data nature, but crucial invocation details like expected output and parameter formats are missing. Without output schema, the description should carry more weight, and it falls short.

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 describe any of the three parameters (ait, placa, renavam). Although parameter names are somewhat self-explanatory for the Brazilian domain (placa = license plate, renavam = vehicle registration, ait = traffic violation notice), the description omits all semantic details. Since schema provides no descriptions, the description fails to compensate for the 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 the verb 'consultar' (query) with the resource 'multas' (fines) from DETRAN CE, and mentions it queries official Brazilian sources. However, the phrase 'Emissão de Taxa de Multas' (issuance of fines fee) introduces slight ambiguity about whether the tool generates a payment slip or simply returns fine data. It distinguishes from generic sibling tools like authenticate and marketplace, but doesn't specify the exact output format.

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: hosted by the platform, no platform credentials needed, pay per query with prepaid credit, and it queries official non-confidential data. It implies usage for legitimate purposes under LGPD. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusion criteria or when not to use it.

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