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 non-destructive (destructiveHint=false) and idempotent (idempotentHint=true) behavior. The description adds that the conversation array is needed for reproduction, which is useful behavioral context. It doesn't disclose broader effects like ticket creation or data handling, but given the annotations cover the safety profile, a 3 is appropriate.
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 concise sentences, front-loaded with the main purpose and then a key instruction. No redundant phrases or filler. It earns its place entirely.
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 tool's simplicity and the annotations covering safety, the description is mostly sufficient. It conveys the core action and a critical input requirement. The only gap is the undefined 'context' parameter, but it's optional with a default, so it does not severely impair usability. Overall complete for its complexity level.
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 has 0% description coverage for parameters, so the description must compensate. It only explains the 'conversation' parameter ('Include the conversation array with recent messages'). The required 'message' parameter is self-explanatory but undefined, and 'context' remains completely ambiguous. With three parameters and two undocumented, the description inadequately adds semantic meaning.
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 with a specific verb 'Report' and resource 'bug, missing feature, or send feedback.' It distinguishes itself from siblings like authenticate or marketplace, which serve different functions. The mention of including the conversation array for reproduction adds precise scope.
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 when-to-use context: 'Report a bug, missing feature, or send feedback.' It also instructs to include the conversation array, giving practical usage guidance. However, it does not mention when not to use or alternative tools, though siblings show no closely related options.
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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