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Dataprev: Fator Acidentário de Prevenção (FAP)

report_bug

Idempotent

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
messageYes
conversationNo[]

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations (readOnlyHint=false, idempotentHint=true) are present, but the description adds context about including conversation for reproduction. It does not explain the outcome or side effects beyond that, and the idempotentHint seems inconsistent with real-world bug reporting, but the description does not contradict it.

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

Conciseness5/5

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

Two concise sentences that are front-loaded with the main purpose, no fluff or unnecessary details.

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

Completeness4/5

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

For a simple feedback tool with 3 optional/required params and no output schema, the description covers the essential information. It lacks details on what happens after submission, but that is not critical for using it.

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

Parameters3/5

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

Schema coverage is 0%, so the description must clarify parameters. It mentions including conversation array for reproduction, which explains that parameter, but does not explain 'message' or 'context' beyond their obvious meanings. Partial compensation.

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 clearly states it reports bugs, missing features, or feedback, with a specific verb and resource. It is easily distinguishable from sibling tools like authenticate or connect.

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 implies usage for reporting issues but does not explicitly state when to use it vs alternatives, nor any exclusions or prerequisites. It provides only a general suggestion to include conversation for reproduction.

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.