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DETRAN PE: Veículo

detran_pe_veiculo_consultar

Read-onlyIdempotent

DETRAN PE: 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
cpfNo
cnpjNo
placaYes
login_cpfNo
login_senhaNo
pkcs12_certNo
pkcs12_passNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds valuable context: it is hosted by the platform, requires no platform credentials, is paid per query with prepaid credits, and clarifies data is not confidential and the client is responsible for LGPD compliance. This goes beyond annotations and provides important operational and legal context.

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 a single paragraph with three sentences, each providing distinct information: purpose, operational details, and legal context. It is reasonably concise and front-loaded with the main purpose. However, it could be more structured with bullet points or clearer separation of concerns, but it is not verbose.

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

Completeness3/5

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

Given the tool has 7 parameters, no output schema, and no parameter descriptions, the description is incomplete. It explains the business model and legal aspects but does not clarify how to use the parameters, what the response contains, or any prerequisites like needing login credentials or certificates. The complexity is moderate, but the lack of parameter guidance and output format makes it incomplete for an agent to invoke correctly.

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?

Schema description coverage is 0%, so the description must compensate for parameter meaning. The description does not explain any of the 7 parameters (cpf, cnpj, placa, login_cpf, login_senha, pkcs12_cert, pkcs12_pass). It only mentions 'placa' implicitly as the required parameter but does not clarify the roles of login credentials or certificates, which are likely needed for authentication to the official source. This is a significant gap.

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 the tool queries vehicle information from DETRAN PE official source, specifying the resource (vehicle) and the scope (DETRAN PE). It distinguishes from siblings by being the only vehicle consultation tool among generic platform tools like authenticate, connect, and marketplace.

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 explains the context (official source, paid per query with prepaid credits, no platform credentials needed) but does not explicitly state when to use this tool versus alternatives or when not to use it. It implies usage for legitimate vehicle data queries but lacks explicit guidance on alternatives or exclusions.

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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