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

The description adds significant transparency beyond the readOnlyHint=true and idempotentHint=true annotations by disclosing the tool is hosted on the platform, requires no platform credentials, uses prepaid credit per query, and provides data source information (official Brazilian sources, same as available to citizens, not confidential data). This addresses the annotations and adds value beyond what structured fields provide.

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, information-dense paragraph that front-loads the core purpose and then provides essential context (hosting, credentials, payment, data source, LGPD compliance). Every sentence adds value with no redundancy or fluff.

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 description covers key aspects: purpose, data source, authentication model, payment model, and legal compliance (LGPD). Given the tool's moderate complexity (6 params, 2 required), it is reasonably complete, although it could mention rate limits or typical response structure. The presence of annotations compensates for the lack of an output schema.

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%, meaning the description provides no parameter-level details. The parameters (placa, renavam, login_cpf, etc.) are left entirely to the schema. The description does not compensate for this gap, so the baseline of 3 is appropriate given the schema exists but the description adds no semantics.

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 DETRAN SC debt guides ('Guias de Débitos, consulta em fonte oficial'). It uses a specific verb ('consultar') and resource ('Guias de Débitos'), and the title provides the naming context. However, it doesn't explicitly distinguish itself from sibling tools, though the verb+resource structure is present.

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 by stating it consults official Brazilian sources and mentions payment method (prepaid credit). It does not explicitly state when to use this tool versus alternatives or provide exclusions, but the context of consulting official sources is clear.

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