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 provide basic behavioral hints (readOnlyHint=false, idempotentHint=true, destructiveHint=false). The description adds context about including the conversation array for reproduction, which is useful, but it does not disclose the actual effects of the report (e.g., whether a ticket is created, if data is sent externally). No contradiction with annotations exists.
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, front-loaded with the purpose and followed by a key instruction. Every word earns its place; there is no fluff or irrelevant detail.
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 relatively simple (3 params, no output schema), but the description leaves gaps: it doesn't clarify the 'context' parameter, nor does it explain what happens after reporting (e.g., return value or acknowledgement). Annotations mitigate some concerns, but the description is not fully self-sufficient.
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 descriptions are completely absent (0% coverage), so the description carries the burden for parameter meaning. It gives meaningful context for the 'conversation' parameter ('recent messages for reproduction') but says nothing about 'message' or 'context.' This partial clarification is helpful but does not fully compensate for the lack of schema descriptions.
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 types (bug, missing feature, feedback) is specific and differentiates this tool from sibling tools like authenticate or show_version, which serve entirely different functions.
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 does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or conditions. The intended usage is implied by the purpose (reporting feedback), but there is no guidance on conflict with other tools. Since none of the siblings handle reporting, the usage is fairly obvious, but the description lacks explicit instructions.
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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