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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

A3.8/5.0
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, providing the safety profile. The description adds minimal behavioral context beyond purpose, only mentioning the need for conversation data. 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?

The description is a concise two-sentence statement, with the purpose front-loaded and the usage note about the conversation array being brief and relevant. No filler or redundant content.

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 reporting tool, the description conveys the core purpose and the key requirement to include conversation data. However, it omits explanation of the 'message' and 'context' parameters and does not describe expected outcomes, leaving some gaps.

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. It explains the 'conversation' parameter but leaves 'message' and 'context' unexplained. This is insufficient for full parameter semantics, as two of three parameters are not addressed in the description.

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' and identifies the resources (bug, missing feature, feedback), making its purpose unmistakable. The sibling tools (authenticate, connect, marketplace, etc.) do not overlap, so purpose is clearly differentiated.

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 this tool: whenever the user wants to report a bug, missing feature, or give feedback. It also provides explicit guidance to include the conversation array for reproduction, which is practical usage advice. However, it does not explicitly mention exclusions or alternatives, so it stops short of a 5.

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

A3.7/5.0
Disambiguation4/5

Each tool has a clear primary purpose: authenticate, query CNEP, connect, marketplace, report bug, show version, and toolkit info. The only overlap is between connect and toolkit_info, both of which report connection status, but their roles are otherwise distinct.

Naming Consistency2/5

Tool names mix bare verbs (authenticate, connect), a noun (marketplace), noun_verb (cnep_consultar), and verb_noun (report_bug, show_version), with inconsistent use of underscores. There is no uniform pattern, which makes the set feel haphazard.

Tool Count3/5

Seven tools is within the acceptable range, but the balance is skewed: only one tool (cnep_consultar) addresses the server's apparent domain, while the other six are generic platform utilities. This makes the count feel inflated for a CNEP-focused server, though each tool does have a role.

Completeness3/5

For the CNEP domain, the set provides only a single lookup operation, with no options for broader searches, history, or data export. The platform utilities are comprehensive for their meta-purpose, but they do not fill the domain coverage gap.