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Glama

DETRAN RN: Veículo

detran_rn_veiculo_consultar

Read-onlyIdempotent

DETRAN RN: Veículo, 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?

It discloses that the service is hosted, requires no platform credentials, is paid per query, uses official non-confidential data, and places data control responsibility on the client (LGPD). This goes beyond the annotations (read-only, idempotent) by explaining cost and data responsibility, though it doesn't address rate limits or failure modes.

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

Conciseness3/5

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

The description is somewhat verbose and repetitive, repeating phrases about official sources and LGPD. It could be more concise, but it is structured in a way that conveys the essential points without being excessively long.

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?

Despite providing context about payment and data handling, it lacks information about the expected output (what vehicle data is returned), the purpose of login credentials or certificates, and how the prepaid credit system works. With an output schema absent, the description should have covered more operational details.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has six parameters with no descriptions, and the description does not explain any of them. It only implied placa and renavam via the vehicle context, but login_cpf, login_senha, pkcs12_cert, and pkcs12_pass are unexplained. Since schema coverage is 0%, the description was expected to compensate, but it fails to do so.

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

Purpose4/5

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

The description clearly states this is a vehicle query tool from an official source (DETRAN RN), which distinguishes it from sibling tools like authentication or connection utilities. However, it could be more specific about returning vehicle information based on plate and RENAVAM, but the purpose is understood.

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

Usage Guidelines3/5

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

The description mentions it is hosted and paid with prepaid credits, giving some usage context, but it does not specify when to use this tool versus alternatives or provide scenario guidance. It implies usage for official vehicle data queries but lacks explicit 'when to use' instructions.

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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