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 indicate idempotentHint=true and destructiveHint=false, which are consistent with the description (no contradiction). The description adds context by instructing to include the conversation array for reproduction, which goes beyond annotations, aiding the agent in understanding what data to provide. No annotation contradictions found.
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 sentence, highly concise, and front-loaded with the purpose. Every word earns its place; no fluff.
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 simple tool with 3 params, no output schema, and moderate annotations, the description covers the essential usage (what to do, what to include). It could mention if there's a response or confirmation, but given the simplicity, it's nearly complete. The 'context' parameter remains vague, but that's a minor gap.
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. It explicitly mentions 'conversation' array with recent messages, clarifying the 'conversation' parameter beyond the schema's bare type. It also implies 'message' is the bug/feedback text, but 'context' is not explained. Given the low coverage, the description provides significant added meaning for two of three parameters.
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: reporting bugs, missing features, or feedback. It distinguishes from siblings (no other tool does this) and mentions including conversation for reproduction. However, it doesn't explicitly name the resource (e.g., 'report to the development team') but the intent is 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?
It suggests when to use (report a bug, missing feature, feedback) and implies including conversation for reproduction, but doesn't explicitly say when NOT to use or mention alternatives. Sibling tools like 'marketplace' or 'toolkit_info' are different, so context is clear but exclusions are absent.
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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