report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare idempotentHint=true and destructiveHint=false. The description adds that the conversation array is for 'reproduction,' giving context that the data is sent for debugging. It doesn't contradict annotations and provides some added context about expected use, though it doesn't detail side effects or data handling. This is an adequate but not exceptional addition 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences: the first states the purpose, the second gives a critical usage instruction. Every word is purposeful, and the description is front-loaded with the action verb. No fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 3 simple parameters, the description covers the core action and the most important parameter (conversation) with context for reproduction. It doesn't explain return values, but there's no output schema and the annotations cover idempotency and safety. A minor gap is not explaining the 'context' parameter, but the tool is simple enough that the description is nearly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate for missing parameter details. It does explain that 'conversation' should be an array of recent messages for reproduction, which adds meaning. However, it doesn't clarify the 'context' parameter or the format of 'message' beyond the general purpose. The description partially bridges the gap but leaves some semantic gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 distinguishes it from siblings like 'show_version' or 'authenticate', which have different functions. Even without knowing sibling names, the purpose is immediately clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool ('Report a bug, missing feature, or send feedback') and provides a specific instruction ('Include the conversation array...'). It doesn't mention exclusions or alternatives, but none of the sibling tools appear to serve a similar purpose, so context is clear. A full 5 would require explicit when-not-to-use or alternative naming.
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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