读取列表变量
AI agents call read_list_variable to retrieve information from Code Analysis MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data from a list variable without creating, modifying, or deleting anything. It is a simple query/get operation that has minimal blast radius if misused by an AI agent. No irreversible changes, code execution, financial impact, or destructive actions are possible.
From the tool's definition Tool name 'read_list_variable' and description '读取列表变量' (read list variable) indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
读取列表变量. It is categorised as a Read tool in the Code Analysis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Code Analysis MCP Server MCP server in PolicyLayer and add a rule for read_list_variable: 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 Code Analysis MCP Server. Nothing to install.
read_list_variable 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 read_list_variable 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 read_list_variable. 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.
read_list_variable is provided by the Code Analysis MCP Server MCP server (zeocax/code-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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