fix_bug
Submit code and error details to QA experts for bug fixing and resolution.
Instructions
让 QA 专家修复 Bug
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | 有 Bug 的代码 | |
| error | Yes | 错误信息或 Bug 描述 |
Submit code and error details to QA experts for bug fixing and resolution.
让 QA 专家修复 Bug
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | 有 Bug 的代码 | |
| error | Yes | 错误信息或 Bug 描述 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description does not disclose behavior beyond the name; unclear if it modifies code, triggers a process, or requires permissions.
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?
Extremely short (one sentence) but at the cost of substance; it's under-specified rather than concise.
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?
Lacks output schema; no information on results or side effects. Inadequate for a tool with 2 required params and no behavioral context.
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 100% (both params have descriptions). The tool description adds no extra meaning beyond the schema, meeting baseline.
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 '让 QA 专家修复 Bug' is vague; it suggests human involvement but doesn't clarify the tool's direct action. It doesn't distinguish from sibling like 'ask_expert'.
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?
No guidance on when to use this tool vs alternatives. Sibling tools include 'code_review' and 'ask_expert' but no comparative information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/7836246/claude-team-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server