로컬 컴퓨터의 do 파일 읽기
AI agents call read_do_file to retrieve information from Stata MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads Stata .do files from disk and returns their contents. It performs data retrieval without side effects—no execution, modification, deletion, or financial operations occur. The low severity reflects minimal risk even if misused, as reading local files poses no destructive threat.
From the tool's definition Tool name 'read_do_file' and description 'read do file from local computer' indicate retrieval of file contents with no modification or execution.
Attacks that exploit this kind of access
로컬 컴퓨터의 do 파일 읽기. It is categorised as a Read tool in the Stata MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Stata MCP Server MCP server in PolicyLayer and add a rule for read_do_file: 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 Stata MCP Server. Nothing to install.
read_do_file 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_do_file 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_do_file. 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_do_file is provided by the Stata MCP Server MCP server (mkprevo/stata-mcp-server). 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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