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 (write action) and destructiveHint=false. The description adds context that the conversation array is needed for reproduction, which is useful behavioral information. However, it does not disclose side effects (e.g., creating a ticket) or response behavior, so it only partially adds value beyond annotations.
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 extremely concise: two sentences that front-load the purpose and immediately provide a key usage instruction. No fluff or repetition of schema basics.
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 this tool (3 params, no output schema) and the annotations, the description covers the essential information—purpose and a critical usage detail. It doesn't elaborate on expected outcomes, but for a bug-report tool this is not a significant omission.
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?
The schema has zero description coverage, so the description must compensate. It clarifies the 'conversation' parameter (include recent messages for reproduction) and implies 'message' is the main report content. However, the 'context' parameter remains unexplained, leaving a gap for agents unsure how to fill it.
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 exactly what the tool does: 'Report a bug, missing feature, or send feedback.' This is a specific verb+resource that clearly distinguishes it from siblings like 'authenticate' or 'show_version', which are unrelated.
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 provides clear instructions on how to use the tool (including the conversation array for reproduction) and implicitly indicates when it should be used (for reporting issues). It doesn't explicitly exclude alternatives, but given the sibling list contains no similar tools, the usage context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.