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Dataprev: Fator Acidentário de Prevenção (FAP)

dataprev_fap_consultar

Read-onlyIdempotent

Dataprev: Fator Acidentário de Prevenção (FAP), 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
login_cpfNo
login_senhaNo
pkcs12_certNo
pkcs12_passNo
ano_vigenciaNo
cnpj_estabelecimentoYes

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already mark readOnly/idempotent/non-destructive; the description adds meaningful context: the query is hosted by the platform, paid per consultation with prepaid credit, requires no platform credentials, and concerns non-confidential official data with LGPD responsibilities. No contradiction with 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 compact and front-loads the core purpose in the first clause. The following sentences about hosting, payment, and LGPD are relevant but add some length; still no wasted filler.

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 is incomplete: it omits return-value behavior, authentication semantics (why login/pkcs12 params exist given 'no platform credentials'), and the meaning/format of ano_vigencia. Payment and legal context are helpful, but operational essentials are missing.

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 has 6 parameters with 0% description coverage, and the description does not explain login_cpf, login_senha, pkcs12_cert, pkcs12_pass, or ano_vigencia. Only the required cnpj_estabelecimento is inferable from the tool name. The description fails to compensate for missing 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?

Description clearly states the action: 'consulta em fonte oficial' of Dataprev's FAP (Fator Acidentário de Prevenção). This is a specific query operation on an official resource, and it distinguishes itself from generic sibling tools like authenticate 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 Guidelines4/5

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

Provides clear context: use it to query official Brazilian FAP data, with prepaid credit and no platform credentials, and notes that data is the same as available to citizens. It does not explicitly mention alternatives or when-not-to-use, but the context is sufficient for this standalone query tool.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: authentication, connection status, FAP data query, marketplace catalog, bug reporting, version info, and toolkit state. No overlap or ambiguity.

Naming Consistency2/5

Naming conventions are inconsistent: some are single-word verbs (connect, marketplace), one is snake_case with underscores (dataprev_fap_consultar), and others mix verb-noun (show_version) or noun-based (toolkit_info). There is no uniform pattern across the set.

Tool Count4/5

With 7 tools, the set is reasonably scoped. It includes one domain-specific data tool and several generic platform utilities, which is slightly broad but not excessive or sparse.

Completeness4/5

For the primary purpose of FAP data lookup, the single query tool covers the core need. Authentication and status tools support the workflow, though there is no obvious additional data operation missing. The inclusion of platform-management tools extends beyond the domain but does not create a critical gap.