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DETRAN SC: Veículo (Extrato)

detran_sc_veiculo_consultar

Read-onlyIdempotent

DETRAN SC: Veículo (Extrato), consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago. Consulta informação de fontes e órgãos oficiais brasileiros (a mesma disponível ao cidadão), não é dado sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
placaYes
renavamYes
login_cpfNo
login_senhaNo
pkcs12_certNo
pkcs12_passNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnly=true, idempotent=true, and non-destructive, and the description adds value by disclosing the payment model ('pague por consulta com crédito pré-pago') and that it requires no platform credentials but may require separate login fields. It also clarifies data control and LGPD compliance, which is beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact but includes a few redundant details like the LGPD disclaimer, which, while relevant, could be trimmed. It front-loads purpose and payment, making the core information accessible early, but the legal statement adds length without aiding tool invocation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 6 parameters, no output schema, and no parameter descriptions, the description does not sufficiently explain how to invoke the tool or what result to expect. It does not mention the required placa and renavam fields or the response format, leaving a significant informational gap for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

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 mention any of the six parameters (placa, renavam, login_cpf, etc.). There is no explanation of what each parameter means, which inputs are required, or their format. The description completely fails to compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs a 'consulta' (query) of vehicle extract data from DETRAN SC, an official source. The verb and resource are explicit, and the scope (vehicle extract from DETRAN SC) distinguishes it from unrelated siblings like authenticate or marketplace.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives context about payment and the official nature of the data but does not explain when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. It lacks clear guidance on when this tool is the appropriate choice.

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

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