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SEFAZ PB: Certidão Negativa de Débitos

sefaz_pb_certidao_debitos_consultar

Read-onlyIdempotent

SEFAZ PB: Certidão Negativa de Débitos, 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
ieNo
cpfNo
cnpjNo
identidade_numeroNo
identidade_emissor_ufNo
identidade_emissor_orgaoNo

Schema Changelog

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

  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 and destructiveHint=false. The description adds meaningful context beyond that: no platform credentials, pay-per-query with prepaid credit, official citizen-accessible data, non-confidential nature, and LGPD controller responsibilities. This does not contradict 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 purpose is front-loaded in the first clause, and the subsequent sentences about payment, official-source status, and LGPD are all informative. The paragraph is slightly dense but contains no wasted sentences.

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?

For a tool with 6 parameters and no output schema, the description omits parameter semantics and return-value expectations entirely. It gives commercial and legal context well, but it is not operationally complete enough for an agent to know what inputs to provide or what kind of result to expect.

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?

The schema has 6 parameters (ie, cpf, cnpj, identity fields) with 0% description coverage. The description does not mention any parameter, accepted input format, or which identifier is required/preferred, so it adds no semantic meaning beyond the raw property names.

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 PB: Certidão Negativa de Débitos, consulta em fonte oficial', naming a specific verb (consulta) and resource (certidão de débitos) in an official source. This clearly distinguishes the tool from sibling tools such as authenticate, connect, marketplace, and report_bug.

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 provides useful context: hosted by the platform, no platform credentials needed, prepaid credits, and official non-confidential data. However, it does not explicitly state when to prefer this tool over alternatives or when not to use it, so usage guidance remains largely implied.

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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