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 are minimal (readOnlyHint=false, destructiveHint=false, idempotentHint=true). The description adds value by explaining the expectation to include the conversation array for reproduction, which is a behavioral guidance. It doesn't contradict annotations. The idempotentHint true is fine since reporting a bug multiple times is idempotent. It clearly discloses the need for conversation context, which helps set expectations.
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, concise and front-loaded. Every word earns its place; no fluff. It states the purpose and the key usage instruction.
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 simple (one required param, no output schema, likely a fire-and-forget feedback tool). The description is complete enough for its simplicity: it tells the user what to do and what to include. It doesn't explain return values, but that's not necessary given the lack of an output schema. Overall adequate.
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 does mention 'conversation array' and 'message' (inferred), but not 'context'. However, the default values and types are somewhat clear from schema. Since it explicitly explains the purpose of 'conversation' ('for reproduction'), it adds meaning beyond the schema, which justifies a score above baseline 3.
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 states the tool's purpose clearly: 'Report a bug, missing feature, or send feedback.' This is a specific verb ('Report') and resource ('bug, missing feature, or feedback'), distinguishing it from sibling tools by its clear 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 implies usage by saying 'Include the conversation array with recent messages for reproduction,' which guides the user to provide relevant context. However, it doesn't explicitly state when to use this vs. alternatives, nor does it provide exclusions or alternatives. It's adequate for a feedback tool, as it's likely the only one for this purpose.
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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