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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

A4/5.0
Behavior3/5

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

Annotations already indicate non-readonly, non-destructive, and idempotent behavior. The description adds the context that conversation messages are needed for reproduction, which is helpful. However, it does not mention side effects such as where the report goes or whether a ticket is created.

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 a single sentence, front-loaded with the main purpose and no filler. Every word earns its place, and it is easily scannable.

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 reporting tool, the description covers the essential purpose and the critical input requirement (conversation). It does not discuss the optional context parameter or the return value, but given the lack of an output schema and the simplicity of the tool, this is acceptable.

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 descriptions are absent (0% coverage), so the description compensates partially. It explicitly explains the 'conversation' parameter as needing recent messages for reproduction. The 'message' parameter is self-explanatory, but 'context' is not mentioned. More detail would improve semantics.

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 tool's function: report a bug, missing feature, or feedback. The verb 'report' and resource (bug/feature/feedback) are specific and unambiguous. It also distinguishes from sibling tools like authenticate or show_version, which serve unrelated purposes.

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 implies when to use the tool: whenever there is a bug, feature request, or feedback. It does not explicitly mention alternatives, but none of the sibling tools are similar in function. It also provides a key usage instruction: include the conversation array 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

A3.8/5.0
Disambiguation2/5

There is a separate report_bug tool while marketplace also mentions report_bug internally, causing duplication. Additionally, authenticate and connect both deal with authentication/connection status, creating boundary confusion.

Naming Consistency2/5

Tool names mix English and Portuguese (authenticate vs nfe_completa_consultar), and mix verb forms (authenticate, connect) with noun forms (marketplace, toolkit_info), with no consistent verb_noun pattern.

Tool Count4/5

Seven tools is a reasonable number for a server, but the massive marketplace tool bundles dozens of operations into a single tool, making the set feel both overcrowded and under-represented.

Completeness3/5

The NFe consultation itself is a single query tool, and the rest are platform utilities not directly related to NFe, so the domain coverage is thin. Missing functions like listing past consultations or managing account credits, though the core consult works.