Extract plain text content from a DOCX file
AI agents call extract_text to retrieve information from DOCX MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that queries and retrieves text data from a Word document. It does not modify, delete, execute code, or commit financial actions. The extraction of text from documents is a standard, non-destructive retrieval operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'extract_text' and description states 'Extract plain text content from a DOCX file' — this retrieves document content without modification or side effects.
Attacks that exploit this kind of access
Extract plain text content from a DOCX file. It is categorised as a Read tool in the DOCX MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DOCX MCP Server MCP server in PolicyLayer and add a rule for extract_text: 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 MCP Server. Nothing to install.
extract_text 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 extract_text 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 extract_text. 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.
extract_text is provided by the DOCX MCP Server MCP server (zeph-gh/docx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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