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 the operation is non-destructive and idempotent, so the description doesn't need to repeat that. It adds some context about including the conversation array for reproduction, which is helpful. It doesn't contradict annotations, but it doesn't disclose other behaviors like rate limits or side effects, which is acceptable given the simple nature.
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 that is concise and front-loaded with the main action ('Report a bug, missing feature, or send feedback'). It includes the key nuance about conversation array without excess. It earns high marks for efficiency.
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: three parameters, one required, no output schema. The description covers the purpose and gives a hint about reproduction. Given the simplicity, it's fairly complete, though it could mention that 'context' is optional or clarify the format of 'conversation'. Still, it's 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' implicitly, but doesn't explain the 'context' parameter. However, it gives guidance on two of three parameters, and the 'message' parameter is self-explanatory. Given low coverage, this is a decent compensation, though it could be more explicit.
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: to report bugs, missing features, or send feedback, and it mentions including the conversation array for reproduction. It distinguishes itself from sibling tools that are for authentication, marketplace, version info, etc., though it doesn't explicitly name alternatives.
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 is a bug, missing feature, or feedback) and gives a hint about what to include (conversation array). However, it doesn't explicitly state when not to use it or mention alternative tools for specific cases, so it partially meets the criteria.
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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