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?
The description explains that it reports/sends feedback and notes the conversation payload needed for reproduction, which adds context beyond the annotations. However, it does not disclose what happens after reporting, whether any external destination is notified, or how idempotent/reporting behavior manifests.
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 short, direct sentences that immediately convey purpose and the one critical implementation detail. There is no filler, redundancy, or unnecessary wording.
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 simple three-parameter tool with no output schema, this description gives enough to understand the purpose and the important conversation requirement. It lacks a little detail on the other two parameters, but the tool is simple enough that this description is close to sufficient.
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?
With 0% schema description coverage, the burden is on the description to explain parameters. It meaningfully clarifies that 'conversation' should contain recent messages for reproduction, but it does not explain the required 'message' parameter's expected content or the optional 'context' parameter's role. This is partial compensation only.
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 action verb ('report') and clearly enumerates the supported intents: reporting a bug, missing feature, or sending feedback. This distinguishes it well from the unrelated sibling tools such as authenticate, marketplace, or show_version.
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 gives clear context for when to use the tool and adds the important instruction to include the conversation array with recent messages for reproduction. It does not explicitly exclude alternative channels or name alternatives, but none of the sibling tools serve the same purpose, so this is sufficiently clear.
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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