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 declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=false. The description does not contradict these. It adds context by instructing to 'Include the conversation array with recent messages for reproduction,' which tells the agent what to include. However, it doesn't explain side effects (e.g., whether this sends a network request, stores data, or has rate limits). With annotations providing some safety profile, the description provides modest added context.
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, front-loaded with purpose, then a helpful instruction. Every word earns its place. Excellent structure.
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 feedback/report tool, the description is quite complete given its simplicity. It explains the purpose and gives one key instruction about the conversation array. An output schema is absent, but the tool likely doesn't need one. The tool is simple enough that the description suffices, though more detail about the 'context' field could push it higher.
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 mentions the conversation array explicitly and its purpose ('with recent messages for reproduction'), which adds value. However, it doesn't explain the 'context' field or the format of 'message'. The description partially bridges the gap but not fully.
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.' It uses a specific verb ('report') and resources ('bug, missing feature, feedback'). It doesn't explicitly distinguish from siblings, but the sibling names (authenticate, connect, etc.) are not related to reporting, so purpose is clear enough.
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 (to report issues or feedback) but doesn't explicitly state when not to use it or mention alternatives. Given the sibling tools are unrelated, the usage context is fairly clear, but no exclusions or alternatives are given.
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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