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 supply non-destructive and idempotent hints, so the description does not need to duplicate them. The description adds that the conversation is for reproduction; however, it leaves out side effects, deduplication, rate limits, or user-facing outcomes. This is adequate but not richly 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?
Two sentences total, no filler. The first sentence states the purpose immediately and the second provides actionable reproduction guidance. It is tightly structured and quick to scan.
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?
The tool is simple enough that the description nearly suffices for the main use case. But the unexplained context parameter, conversation-vs-array mismatch, and lack of any return/confirmation behavior mean an agent would still have to guess when invoking beyond the required text message.
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. It only explains-conversation parameter, and even then calls it an 'array' while the schema declares type string. The required message and the optional context parameters are left unexplained, and the description makes conversation seem more important than the schema's optional/default behavior indicates.
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 opens with 'Report a bug, missing feature, or send feedback,' a specific verb and clear set of resources. None of the sibling tools are reporting tools, so this cleanly distinguishes the function from the rest.
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 valid use cases are explicit: bug, missing feature, and generic feedback. There is no 'when not to use' or explicit alternative named, but the sibling list has no competing tool, so the context is still 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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