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 declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=false. The description adds the behavioral context that the `conversation` parameter contains recent messages needed for reproduction, which is useful for the agent. It doesn't contradict annotations. It could mention side effects (e.g., whether a support ticket is created) but provides meaningful context beyond structured fields.
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?
Two sentences, front-loaded with the purpose and a key usage instruction. Every word earns its place, no fluff. Excellent conciseness.
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?
For a bug-reporting tool with simple string parameters and no nested objects, the description is mostly sufficient. It explains why the `conversation` parameter exists and what to include. However, it doesn't specify the format of `conversation` (JSON string) or what happens after reporting (e.g., response format), but since no output schema exists, some credit is given. It's adequate but not rich.
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, but it only mentions the `conversation` parameter, not `message` or `context`. The message parameter is required and obvious, but the description doesn't explain formatting for `conversation` (e.g., JSON array of strings) or what `context` is for. It partially compensates but leaves gaps. Baseline 3 seems fair.
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 uses a specific verb ('Report') and identifies the resource ('a bug, missing feature, or send feedback'), clearly distinguishing it from siblings. It doesn't explicitly differentiate from sibling tools, but the purpose is unambiguous. A small deduction because it doesn't explicitly mention alternatives, but the action is clear.
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 this tool ('Report a bug, missing feature, or send feedback') and gives one usage instruction ('Include the conversation array...'). However, it doesn't explain when not to use it or point to alternatives among siblings. It's adequate but lacks explicit exclusions or alternatives, earning a 3.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.