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 disclose that the tool is idempotent (idempotentHint: true) and non-destructive (destructiveHint: false). The description adds the context that the conversation array is needed for reproduction, which gives a hint about how the tool behaves (collects context). However, it does not describe side effects, response handling, or other behavioral details. With annotations present, the bar is lower, and the description adds some value, so a 3 is appropriate.
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: two sentences that front-load the purpose and then provide a key usage detail. Every word earns its place. There is no fluff or repetition. It is appropriately structured for a simple tool.
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 (3 params, no output schema, no nested objects), and the description covers the essential aspects: what it does and a key parameter. It does not explain return values but no output schema exists. It could mention that it sends a report and maybe the result, but for a low-complexity tool the description is adequate. Minor gaps like not mentioning that 'message' is required or what 'context' is keep it from being a 5.
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 schema has no parameter descriptions (coverage 0%), so the description must compensate. It explicitly explains the 'conversation' parameter ('Include the conversation array with recent messages for reproduction.') but does not elaborate on 'message' or 'context'. 'message' is fairly obvious from the purpose, but not explicitly stated. Overall, it adds some semantic meaning but is incomplete, warranting a 3.
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: 'Report a bug, missing feature, or send feedback.' It uses specific verbs and a resource (bug report/feedback), and it is distinct from sibling tools which are unrelated (auth, connection, marketplace, etc.). The intended action is unambiguous.
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 provides a concrete usage instruction: 'Include the conversation array with recent messages for reproduction.' This indicates when and how to use the tool. However, it does not explicitly mention when not to use it or alternative tools, but given the sibling tools are unrelated, it is relatively clear. It lacks explicit exclusions but is adequate for context.
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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