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 include idempotentHint=true and destructiveHint=false, readOnlyHint=false. The description adds that it includes conversation array for reproduction, which is about the input, not the behavior. It doesn't disclose what happens after submission (e.g., where it goes, if it creates a ticket). The annotations already cover safety, so the description does not contradict them. Description adds minimal extra behavioral context, but not lacking.
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: two sentences with clear purpose and a key instruction. It is front-loaded with the verb 'Report' and resource 'bug'. No wasted words.
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 is for reporting bugs/feedback, the description covers the purpose and one key input (conversation). But with no output schema, no details on what happens after submission, and three parameters with zero schema coverage, the description is not fully complete. However, the tool is simple enough that a minimal description might suffice. It does not explain 'context' parameter, and no guidance on when to use conversation vs context. So slightly above minimal but not fully complete.
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. The description mentions 'conversation array' but does not explain the 'context' field or the 'message' field's exact content or format. It adds no detail on what 'conversation' should look like (just says 'recent messages' but no structure). With three parameters and no schema descriptions, the description is insufficient for parameter guidance.
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: reporting bugs, missing features, or feedback, with a specific instruction to include conversation context. It is distinct from sibling tools that handle authentication, marketplace, and version info. However, it doesn't explicitly name any sibling tools to differentiate, but the purpose is unambiguous.
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 indicates 'when to use' implicitly: when the user reports a bug, feedback, etc. It instructs to include conversation array for reproduction, giving a usage hint. But it does not explicitly state when NOT to use it or what alternatives exist (e.g., for general questions, use something else). This is a minimal but adequate guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.