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SEFAZ RN: Certidão Negativa de Débitos

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?

The annotations already declare idempotentHint=true and destructiveHint=false, so the description does not need to repeat safety traits. It adds the context that the conversation array is needed for reproduction, which is useful behavioral guidance, but it does not explain what side effects occur when a report is submitted. 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.

Conciseness5/5

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

Two short sentences deliver the purpose and the key usage instruction without any wasted words. The description is front-loaded and immediately understandable.

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?

The tool is simple (3 flat parameters, no output schema), so the description need not be lengthy. However, with zero parameter descriptions in the schema, the two sentences do not fully cover what 'context' and 'message' should contain. The description is adequate for a human but leaves an AI agent guessing about required content.

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 description coverage is 0%, so the description must compensate for all three parameters. It only explains the purpose of 'conversation' (reproduction) and leaves 'message' and 'context' undefined, forcing the agent to guess what content belongs in each field. This is a significant gap for a simple but loosely specified input schema.

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 uses a specific verb ('Report') with a clear resource ('a bug, missing feature, or send feedback'), which distinguishes it from the unrelated sibling tools. There is no tautology or ambiguity about what action is performed.

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 clearly implies when to use this tool (for reporting bugs or feedback) and instructs the agent to include the conversation array for reproduction. It does not explicitly state when not to use it or name alternatives, but the sibling tools are sufficiently different that the intended usage is clear.

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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