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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds valuable context: it's hosted by the platform, requires prepaid credit per query, no platform credentials needed, and data is not confidential. It also clarifies the client's LGPD responsibility. This goes beyond 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, reasonably concise, and front-loaded with the core purpose. It includes necessary legal and payment context. It's not overly verbose, though it could be more structured. Every sentence adds value.

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 with 0% schema coverage and no output schema, the description should explain more. It covers the purpose and some operational context (payment, LGPD) but leaves parameter semantics and expected output unclear. For a query tool with readOnlyHint, it's adequate but not complete.

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 compensate. It mentions 'placa' and 'renavam' implicitly by context (vehicle debts) but doesn't explain any parameters. The optional login_cpf, login_senha, pkcs12_cert, pkcs12_pass are completely unexplained. The description fails to clarify what these parameters mean or when they're needed.

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: consulting vehicle debts (Débitos) from DETRAN GO official source. It specifies the resource (DETRAN GO debts) and the action (consultar/query). It distinguishes from siblings by being a specific domain tool, though it doesn't explicitly contrast with other 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 context on when to use: for consulting official Brazilian sources, with prepaid credit, and notes it's not confidential data. However, it doesn't explicitly state when not to use it or mention alternatives. The payment model and LGPD compliance are useful but not direct usage guidelines.

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