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 declare idempotentHint=true, readOnlyHint=false, and destructiveHint=false, indicating a safe, non-destructive operation that can be retried. The description adds the instruction to include the conversation array, which is more of a parameter guidance than a behavioral trait. It does not contradict annotations, and while it doesn't reveal side effects (e.g., where the report goes), the annotations cover the safety profile adequately.
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 two sentences: the first states the purpose, the second gives the key usage instruction. It is front-loaded, efficient, and every word earns its place. No filler or redundancy.
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 three straightforward parameters, no output schema, and no nested objects, the description covers the essential points: what it does and what to include (conversation array). The 'context' parameter remains unexplained, but it has a default value and is optional, so the overall completeness is good but not perfect.
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 explains the 'conversation' parameter ('Include the conversation array'), and 'message' is self-explanatory, but the 'context' parameter is not described at all. The instruction about conversation adds value beyond the schema's default value, but the lack of context meaning leaves a gap.
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: 'Report a bug, missing feature, or send feedback.' The verb 'Report' combined with the resource 'bug/feature/feedback' is specific and unambiguous, and none of the sibling tools (authenticate, connect, marketplace, etc.) overlap with this function, so differentiation is natural.
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 implies when to use it: whenever a bug, missing feature, or feedback needs to be submitted. It does not explicitly mention alternatives or when not to use, but given the sibling tools are clearly unrelated, the context is sufficient. It also gives a concrete instruction to 'Include the conversation array with recent messages for reproduction,' which aids usage.
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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