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 idempotentHint=true and destructiveHint=false, but readOnlyHint=false, implying side effects. The description adds no extra behavioral context beyond 'report', which could imply sending data. It does not contradict annotations, but also doesn't elaborate on potential side effects or idempotency in practice.
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, using two short sentences without redundancy. It directly communicates the purpose and a key parameter requirement, earning full marks for brevity and clarity.
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?
Given the absence of an output schema, the description adequately covers the tool's primary function and the key input for reproduction. It does not mention return values or post-action expectations, but because the output schema is not defined, this is acceptable. The description is complete enough for typical use.
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?
The description explicitly mentions the 'conversation' parameter, instructing to include recent messages for reproduction. However, it does not clarify the 'message' (likely the core feedback) or 'context' fields. Since schema descriptions are entirely absent, this partial coverage is the only guidance, leaving some parameters unexplained.
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: reporting bugs, missing features, or sending feedback. The verb 'report' and the specific resources ('bug', 'missing feature', 'feedback') make it distinct from sibling tools like 'authenticate' or 'marketplace'.
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?
It explicitly indicates when to use the tool (for bug reports, missing features, feedback). However, it does not mention when not to use it or provide alternatives, though the described scenarios are sufficient for typical usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.