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 (idempotentHint=true, readOnlyHint=false, destructiveHint=false) are not contradicted by the description. The description adds context by mentioning that conversation messages are used for reproduction. It does not reveal other behavioral traits like rate limits or what happens after submission, but given the annotations, this is acceptable.
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 extremely concise: two sentences with no filler. It front-loads the purpose and then gives a specific usage instruction. Every word earns its place.
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; the description adequately covers the primary use case. However, it could elaborate on what happens after reporting or the expected format of 'conversation' (though that's a param detail). For its simplicity, it is mostly complete but leaves a few gaps.
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 only mentions the 'conversation' parameter, while 'message' and 'context' are left undescribed. Since message is required, its absence weakens semantic clarity. The description fails to explain the format or purpose of context, missing a chance to add value beyond the schema.
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?
Description clearly states the tool reports bugs, missing features, or feedback. The verb 'report' and resources are specific and distinguish it from unrelated siblings like authenticate or show_version. No ambiguity.
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 usage for bug/feedback reporting and gives an instruction to include the conversation array for reproduction. However, it does not explicitly state when not to use this tool or mention alternatives, though siblings are unrelated. Usage context is implicit rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.