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

Annotations provide readOnlyHint, idempotentHint, and destructiveHint, which cover the safety profile. Description adds that it's a paid per-query service with credit, hosted by the platform, and that the client controls data under LGPD. This adds useful behavioral context about payment and legal responsibility, though it doesn't describe the exact output format or error behaviors. No contradiction with 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 no wasted words. It is concise but packs essential context: the official source, the payment model, the data nature, and LGPD responsibilities. It could be slightly improved by separating the core function from the commercial/legal caveats, but it remains 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?

The tool has no output schema and moderate complexity with 5 parameters (3 required). The description covers the administrative context but leaves the query behavior and parameter specifics unaddressed. Since there is no output schema, the description should at least hint at what the response contains (e.g., status). The description is incomplete for an agent to effectively invoke the tool with correct input formats.

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 covers 5 parameters, but description provides zero parameter details. The schema itself only lists names and types, with no descriptions. The description does not clarify the roles of each parameter (e.g., what format placa, chassi, renavam should take, or when to use cpf/cnpj vs placa). Given 0% schema description coverage, the description fails to compensate, making parameter usage ambiguous.

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: to query DETRAN RJ for vehicle seizure status ('Nada Consta' check). It mentions the official source and the data type (non-confidential citizen-available data). It distinguishes from siblings by being a specific DETRAN RJ vehicle query tool, though it doesn't explicitly contrast with other potential vehicle 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 implies usage context (prequalified credit, per-query payment, client responsible for LGPD compliance) but does not explicitly state when to use this tool vs alternatives. It mentions the payment model and data responsibility, which suggests the commercial use case, but lacks explicit alternatives or exclusions.

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