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SEFAZ RS: Débitos Veiculares

sefaz_rs_debitos_consultar

Read-onlyIdempotent

SEFAZ RS: Débitos Veiculares, 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

A3.7/5.0
Behavior4/5

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

Annotations already mark the operation as read-only and idempotent. The description adds behavioral context beyond that: no platform credentials needed, pay-per-query with prepaid credit, data is not confidential, and the client is LGPD controller. This enriches safety and legal expectations without contradicting annotations.

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 compact paragraph of four sentences, each contributing distinct value: purpose, hosting/payment, data source nature, and LGPD responsibility. It is front-loaded with the core purpose and avoids redundancy, though slightly longer than the minimal ideal.

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?

For a read-only query tool with annotations and a clear purpose, the description covers the essentials (official source, payment model, legal role). However, it omits any guidance on the optional authentication parameters (login/pkcs12) and the expected return structure, which leaves gaps given the rich schema and no output schema.

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 provides no information about the six parameters (placa, renavam, login_cpf, login_senha, pkcs12_cert, pkcs12_pass). Since the schema is bare and the description must compensate for low coverage, this is a critical gap.

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 opens with 'SEFAZ RS: Débitos Veiculares, consulta em fonte oficial', clearly stating the tool queries vehicle debts from an official source. The verb 'consulta' and specific resource distinguish it from generic platform sibling tools like authenticate or show_version.

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

Usage Guidelines4/5

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

The description provides clear context: it queries official Brazilian sources available to citizens, is hosted by the platform, and requires prepaid credit per query. It implies when to use this tool but does not explicitly name alternatives or exclusions, slightly lowering from a perfect score.

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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