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 are present (readOnlyHint=false, idempotentHint=true, destructiveHint=false) and not contradicted by the description. The description adds minimal behavioral context beyond the annotations, such as the optional conversation parameter for reproduction. The description could have added more about data transmission or privacy implications but is acceptable given the annotation coverage.
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, dense sentence that front-loads the purpose and immediately follows with the key usage tip. There is no wasted wording, and the structure is perfect for an agent to quickly parse.
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 feedback-reporting tool with three primitive parameters and no output schema, the description provides enough context to understand its function and how to use it. It doesn't over-explain, but for its intended, low-complexity use case, it is complete. A advanced point could be made about including message content, but it's not necessary.
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 explicitly mentions the 'conversation' parameter, explaining its purpose ('with recent messages for reproduction'). However, it does not clarify 'context' or 'message', leaving some interpretation to the schema defaults. While partially helpful, it does not fully compensate for the missing schema documentation.
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 purpose with a specific verb and resource: 'Report a bug, missing feature, or send feedback.' This unambiguously differentiates it from the unrelated sibling tools. It is concise and leaves no doubt about what the tool does.
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 a clear usage guideline: 'Include the conversation array with recent messages for reproduction.' This gives context on how to use the tool effectively. While it doesn't explicitly mention when not to use it, the instruction is sufficient for a feedback-reporting tool.
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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