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 cover idempotency and non-destructive nature. The description adds a behavioral requirement to include the conversation array, which is useful. However, it does not discuss potential side effects (e.g., how feedback is processed) beyond the immediate action.
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 and directly relevant, consisting of two sentences with no fluff. It efficiently communicates the core purpose and a key usage 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 description is complete for understanding the action and the key requirement about conversation. It does not explain the return value (no output schema) or the context/message parameters, but given the tool's simplicity, it is adequately complete for most use cases.
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?
Only one of three parameters (conversation) is mentioned in the description. Context and message are not explained, leaving their purpose unclear. Since schema coverage is low (33%), the description should compensate, but it fails to do so, resulting in ambiguity for two parameters.
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 also specifies including the conversation array, which distinguishes it from sibling tools that handle authentication, connection, marketplace, version, toolkit info, and legal processes.
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 (reporting issues) but does not explicitly state when not to use or reference alternatives. It provides a specific instruction to include the conversation array, giving practical usage guidance, though not explicit exclusions.
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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