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 declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, so the safety profile is already known. The description adds value by mentioning the conversation array for reproduction, but it does not describe any side effects, success/failure behavior, or whether a confirmation is returned. The description does not contradict annotations, so a score of 3 is appropriate—it adds some context but is not rich in behavioral detail.
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 sentences long, front-loaded with the purpose, and contains no fluff. It efficiently communicates the essence and one critical usage hint without padding. Every sentence 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?
Given the tool has 3 parameters, no output schema, and no schema documentation for parameters, the description is too sparse. It does not explain what 'message' should contain, what 'context' is for, or what happens after reporting (e.g., confirmation, logging). For a write action with no output schema, the description should provide more guidance on expected behavior and return values. It is incomplete for effective tool invocation.
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 for explaining parameters. It only mentions 'conversation array' without explaining 'message' (the required param) or 'context'. The description gives minimal insight into parameter usage, leaving the agent guessing about the required message field. This is insufficient compensation for the zero coverage.
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 explicitly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' This is a clear verb+resource (report + bug/feature/feedback) that distinguishes it from unrelated sibling tools like authenticate, connect, and marketplace. It is specific and actionable.
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 says 'Include the conversation array with recent messages for reproduction,' which gives contextual guidance on how to provide necessary information. Though it does not explicitly mention when not to use the tool or list alternatives, the sibling tools are unrelated, so exclusions are unnecessary. Clear context is provided, but no explicit 'when not to use' is stated.
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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