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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds the context that the conversation array is needed for reproduction, which is a meaningful behavioral hint. However, it does not disclose what happens after reporting (e.g., whether an acknowledgment is returned) or any other side effects, so it remains moderately transparent.
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?
The description is exactly two sentences, both of which add value. It front-loads the purpose and then provides a specific usage tip. There is no redundant or filler text, making it highly concise and well-structured.
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?
Given the tool's low complexity (three simple string parameters, no output schema), the description is almost adequate. However, it omits explicit definitions for 'message' and 'context', which are critical for correct invocation. It covers the essential purpose and reproduction hint but leaves a gap in parameter documentation, making it moderately 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?
With 0% schema description coverage, the description must compensate, but it only hints at the 'conversation' parameter ('Include the conversation array'). The required 'message' parameter is only implicitly connected to the purpose ('Report a bug...'), and the optional 'context' parameter is completely unexplained. This leaves the agent without enough detail for correct parameter usage.
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 explicitly states the tool's action: 'Report a bug, missing feature, or send feedback.' This clearly identifies the verb and resource, distinguishing it from sibling tools like authenticate or show_version. The purpose is unambiguous and specific.
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 tells users when to use the tool (to report bugs, missing features, or provide feedback) and gives an explicit instruction to 'Include the conversation array with recent messages for reproduction.' This provides clear context without needing to exclude alternatives, as no sibling tool serves a similar purpose.
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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