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 readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds a behavioral hint about including the conversation array for reproduction, but it doesn't disclose side effects like what happens after reporting (e.g., ticket creation, external transmission). This is acceptable given the annotations, but not rich.
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 a single sentence plus a directive. It is front-loaded with the purpose and includes a specific instruction for the conversation parameter. Every word contributes; no fluff or redundancy.
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 with no output schema, no nested objects, and only three parameters (one required). The description covers the main purpose and the key parameter (conversation), but doesn't mention the response or what happens after submission. Given the low complexity and existing annotations, it is largely complete, with minor gaps for the context parameter.
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 explain parameters. It explicitly mentions the conversation parameter ('Include the conversation array') and implies message via 'Report a bug...' but does not explain the context parameter (default empty string). It partially compensates but leaves one parameter undefined.
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 function: reporting a bug, missing feature, or sending feedback. It specifies the resource (bug/feature/feedback) and distinguishes it from unrelated siblings like authenticate or show_version. The instruction to include the conversation array for reproduction adds specificity.
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 there's a bug, missing feature, or feedback to send. It doesn't explicitly exclude alternatives, but the sibling tools are unrelated, so there is clear context for use. No explicit when-not guidance, but it's not needed given the clear domain.
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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