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SEFAZ DF: Certidão de Dívida Ativa

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

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint: false, destructiveHint: false, and idempotentHint: true. The description adds the behavioral note to include the conversation array for reproduction, which gives some insight into expected input. However, it doesn't disclose outcomes, side effects, or error handling, so it only partially enhances transparency beyond 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?

The description is two sentences long, front-loads the core purpose, and provides a specific instruction (include conversation array) without any fluff. Every word adds value, making it highly efficient.

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?

For a simple bug-reporting tool, the description is adequate but not thorough. It lacks details on response format, whether a report is created immediately, or any validation rules. Since there's no output schema and the operation is side-effectful, a bit more context (e.g., what happens after submission) could improve completeness, but it's not critically deficient.

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 coverage is 0%, so the description must compensate, but it only addresses one parameter ('conversation') by mentioning the array for reproduction. The 'message' and 'context' parameters are not explained, and there is no clarification on their purpose or format. This leaves the agent with incomplete semantic understanding.

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 the tool's purpose: 'Report a bug, missing feature, or send feedback.' This is a specific verb+resource combination that is unambiguous. It also distinguishes itself from sibling tools like 'authenticate' or 'marketplace' by focusing on feedback/discrepancy reporting, making its role obvious.

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 when to use the tool (for bugs or feedback) but provides no explicit guidance on when not to use it or alternatives. It doesn't mention any exclusions or compare itself to other tools, leaving usage context implied rather than explicit.

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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