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 indicate idempotentHint=true and destructiveHint=false, and the description adds context about including the conversation array for reproduction, which is a behavioral tip. There is no contradiction with the annotations. The description enriches the agent's understanding of how to provide useful data, which is especially helpful given the lack of parameter descriptions.
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 concise sentences with no wasted words. The description is front-loaded with the primary purpose and adds one key usage hint in the second sentence. Perfectly sized for the task.
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 simplicity of the tool (no output schema, minimal parameters), the description covers the essential usage guidance. The mention of including the conversation array for reproduction is a valuable detail. It doesn't explain return values, but that's acceptable without an output schema. Could be slightly more explicit about the 'message' parameter's purpose, but overall complete enough.
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 description coverage is 0%, so the description must compensate. While it mentions 'conversation array,' it does not clarify the meaning of 'message' (required) or 'context' parameters. The agent gets no guidance on formatting or purpose of these fields beyond the parameter names themselves. This leaves significant room for misinterpretation.
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 pairing that distinguishes it from sibling tools like authenticate or show_version. The scope is well-defined and unambiguous.
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 (for reporting bugs/feedback) but does not explicitly compare to alternatives or mention exclusions. There is no guidance on when not to use it, but the purpose is straightforward enough that minimal additional direction is needed. This is adequate but not exemplary.
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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