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?
The description emphasizes including conversation data for reproduction, which transparently signals that the tool transmits user conversation content. This adds beyond the annotations (idempotent, non-destructive) by disclosing data handling. However, it does not mention any side effects like sending network requests or storing data, but the hint about reproduction covers the key behavioral aspect.
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: the first states the purpose, the second gives a usage hint. It is concise, front-loaded, and free of unnecessary details. Every sentence adds value without 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 (three params, no output schema), but the description omits critical details like what 'context' means and what the return/outcome of reporting is. It also does not explain the expected format for the conversation array. Given the moderate complexity, the description is not fully complete for autonomous usage.
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 input schema includes three parameters (context, message, conversation) with no per-field descriptions. The description only clarifies the 'conversation' parameter as an array for reproduction, while 'message' and 'context' remain unexplained. This leaves significant ambiguity for an agent, especially since 'message' is required and its semantics are not stated.
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.' This is a specific verb-resource combination and distinguishes it from sibling tools like authenticate or show_version. It also covers multiple related intents (bug/feature/feedback) succinctly.
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 usage instruction: 'Include the conversation array with recent messages for reproduction.' This tells the agent how to use the tool effectively. However, it lacks explicit guidance on when to use this tool versus alternatives, though no sibling tool serves a similar purpose, so the context implies usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.