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GIT Cidadão (PR): Multas

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
Behavior4/5

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

Annotations already indicate non-read-only, non-destructive behavior. The description adds value by specifying that the 'conversation' field should be included for reproduction, which is useful behavioral context beyond the annotations. It does not contradict any annotation.

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 short sentences, front-loaded with the purpose and a direct instruction. No unnecessary words; every phrase adds value.

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?

Given the simple parameter structure and lack of output schema, the description covers the essential points: what to do and what to include. It could mention response handling, but that's not needed here. A score of 4 reflects good completeness without being excessive.

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?

With 0% schema coverage, the description carries the burden of explaining parameters. It explains the purpose of the 'conversation' parameter ('for reproduction') but does not clarify 'message' or 'context'. It adds some meaning but only for one of the three parameters, so a score of 3 is appropriate.

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 action ('Report a bug, missing feature, or send feedback') with a specific verb and resource. It is easy to understand what the tool does, though it does not explicitly differentiate from sibling tools, which are largely unrelated.

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 by saying 'Include the conversation array with recent messages for reproduction,' which hints at how to use the tool, but it does not explicitly state when to use this tool over alternatives or provide exclusion criteria. This fits the 'implied usage' category.

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

A3.5/5.0
Disambiguation3/5

The single domain tool is clearly distinct, but the platform tools overlap: `authenticate`/`connect` both relate to connection state, and `marketplace`/`toolkit_info` both describe installed or callable tools. The long descriptions help, but the boundaries are not crisp, especially since `marketplace` also bundles sub-actions like `report_bug` that exist as a standalone tool.

Naming Consistency2/5

Names mix one-word verbs (`connect`, `authenticate`), noun-only names (`marketplace`), snake_case verb+object compounds (`report_bug`, `show_version`), and a long Portuguese-style domain name (`git_cidadao_pr_multas_consultar`). There is no consistent naming convention or language across the set.

Tool Count3/5

Seven tools is a reasonable raw count, but the set is really six platform utilities plus one domain-specific fines query. For a server named after a specific Brazilian fines product, the tool list feels padded and not tightly scoped to the apparent purpose.

Completeness3/5

The core operation, consulting official Brazilian fine information, is covered by `git_cidadao_pr_multas_consultar`, and the generic utilities handle auth, status, and billing-related flows. However, there are no other direct domain operations, and managing prepaid credits or query history is left to the catch-all `marketplace` tool.