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 safety cues (readOnlyHint=false, destructiveHint=false, idempotentHint=true). The description adds the instruction to include the conversation array for reproduction, which is useful context about expected input. However, it does not disclose what happens after submission (e.g., ticket creation, error handling), though the annotation coverage lowers the burden.
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 concise, using a single sentence with two clauses. It front-loads the purpose and provides one actionable hint. No unnecessary text, though it could be slightly more structured (e.g., separating purpose and parameter guidance).
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 has three parameters, no output schema, and no description of return values or error behavior. The description covers the basic purpose and one parameter hint but omits details on the other parameters, expected format for the conversation (likely JSON string), and post-submission effects, making it incomplete for a reporting tool.
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 parameter ('Include the conversation array') but does not clarify the required 'message' parameter or optional 'context' parameter. This leaves the agent unsure about what to supply beyond conversation.
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' and resource (bug/feature/feedback) are specific and distinguish it from sibling tools like authenticate, connect, or toolkit_info, which serve 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 implies when to use the tool (when encountering a bug, missing feature, or providing feedback) but does not explicitly mention when not to use it or contrast with alternative tools. Since siblings are unrelated, the usage context is understood but not formally stated.
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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