AI agents call load_document to retrieve information from Docx without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and opens a Word document for reading. It has no side effects—it does not create, modify, delete, or execute anything. It is a straightforward read operation with minimal risk even if misused by an AI agent, as it only accesses existing data without altering state.
From the tool's definition Tool name 'load_document' and description 'Load an existing Docx document' indicate retrieval of an existing file without modification. The verb 'load' implies reading/opening data.
Attacks that exploit this kind of access
Load an existing Docx document. It is categorised as a Read tool in the Docx MCP Server, which means it retrieves data without modifying state.
Register the Docx MCP server in PolicyLayer and add a rule for load_document: 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 Docx. Nothing to install.
load_document 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 load_document 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 load_document. 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.
load_document is provided by the Docx MCP server (okamifeng/docx-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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