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 tool is idempotent and non-destructive. The description adds the helpful context that conversation data is needed for reproduction, but does not disclose what happens after submission (e.g., ticket creation, response). This is adequate given annotation coverage, but not richly detailed.
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?
Two sentences, front-loaded with the purpose, and no filler. Every word contributes meaning, making it highly efficient.
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, and the description covers the core purpose and the one especially important parameter (conversation). However, it omits the required nature of 'message', fails to mention 'context', and provides no information about return values or post-submission behavior. It is adequate but has clear 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 explains the 'conversation' parameter's role (reproduction) but ignores 'context' and does not clarify that 'conversation' is a JSON string despite being called an array. The required 'message' parameter is only implicitly tied to 'report a bug/feedback'. This is insufficient for a 3-parameter tool.
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. This is a specific verb plus resource, and it differentiates from sibling tools (authenticate, marketplace, etc.) which serve unrelated functions.
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: whenever a user encounters a bug, missing feature, or wants to provide feedback. It also instructs to include recent conversation messages for reproduction. However, it does not explicitly mention alternatives or when not to use it, though no direct alternative exists among siblings.
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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