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 indicate idempotentHint=true and destructiveHint=false, which the description does not contradict. The description adds that the conversation array should be included for reproduction, which is useful behavioral context beyond the annotations. However, it does not disclose what happens after reporting (e.g., whether it creates a ticket, sends an email) or any side effects, but given the annotations cover safety, 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 two sentences, concise and front-loaded with the purpose. Every word earns its place, and it includes a practical instruction about including the conversation array. No fluff or redundancy.
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 relatively simple with 3 parameters and no output schema. The description covers the main purpose and hints at the conversation parameter's use, but it does not explain the 'context' parameter or provide details on expected message format. Given the simplicity, it is adequate but could be more complete by explaining all parameters and the expected outcome.
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. The description mentions 'conversation array' and 'recent messages', which aligns with the 'conversation' parameter, and 'message' is implied as the main content. However, it does not explain the 'context' parameter at all, and the description does not fully clarify the format or purpose of each parameter beyond what the schema provides. Since the schema has defaults and types, the description adds some value but not comprehensive.
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 a bug, missing feature, or send feedback. It specifies the resource (the tool/system) and the action (report/send), and it distinguishes from siblings by focusing on user feedback rather than operations like authentication or vehicle consultation.
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 this tool (when reporting issues or feedback) but does not explicitly state when not to use it or mention alternatives. It provides a hint about including conversation context for reproduction, which gives some usage context, but lacks explicit exclusions or comparisons to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.