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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true, so the description adds limited value beyond noting the need for reproduction context. It does not disclose potential effects (e.g., creating a ticket, sending data) beyond what annotations imply, but there is no contradiction.
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 a single, informative sentence that delivers the essential information efficiently. No redundancy or wasted words.
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 purpose (submitting feedback/bug reports) and the presence of annotations (idempotentHint, destructiveHint=false), the description is fairly complete. It could clarify the format of 'conversation' (e.g., JSON array of messages) but that is hinted. No output schema means return value isn't expected, so no issue there.
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 has 0% description coverage, so the description must compensate. It mentions 'conversation array' but does not detail the 'message' or 'context' parameters. However, the required 'message' is implied as the feedback text, and 'context' is optional. The description adds the key hint about 'conversation' being a JSON array for reproduction, which is not in the schema.
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 states the tool's purpose with a clear verb ('Report'), the resource ('a bug, missing feature, or send feedback'), and specifies required content ('conversation array with recent messages'). This distinguishes it from sibling tools like 'authenticate' or 'show_version'.
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 when to use the tool ('Report a bug, missing feature, or send feedback') and what to include ('conversation array for reproduction'), but does not explicitly mention when NOT to use it or alternatives, though siblings make context clear.
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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