详细解释代码的工作原理、逻辑流程和实现细节。适合学习理解复杂代码或向他人讲解代码功能。
AI agents call code_explain to retrieve information from Unified MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
code_explain performs static analysis and explanation of code - it queries code content and produces descriptive output. No execution occurs, no data is modified or deleted, no external operations are triggered. This is a classic Read operation: information retrieval with no side effects.
From the tool's definition Tool description states it explains code's working principles, logic flow and implementation details (详细解释代码的工作原理、逻辑流程和实现细节).
Attacks that exploit this kind of access
详细解释代码的工作原理、逻辑流程和实现细节。适合学习理解复杂代码或向他人讲解代码功能。. It is categorised as a Read tool in the Unified MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unified MCP Server MCP server in PolicyLayer and add a rule for code_explain: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Unified MCP Server. Nothing to install.
code_explain is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the code_explain rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for code_explain. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
code_explain is provided by the Unified MCP Server MCP server (qingyunyupan/ollama-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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