AI agents call summarize_docx to retrieve information from TAPD Data Fetcher without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and processes data from DOCX files (reading, summarizing, extracting content, images, and tables) without creating, modifying, or deleting the source documents. These are query/retrieval operations with no side effects on the underlying data.
From the tool's definition The tool description states '读取 docx 文档并生成摘要和完整内容的 JSON 数据，同时提取图片和表格' (reads docx documents and generates summaries and complete content as JSON data, while extracting images and tables).
Documented attack patterns abuse exactly the kind of access summarize_docx gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TAPD Data Fetcher, and nothing reaches the server without passing your rules. This is the rule we recommend for summarize_docx:
{
"version": "1",
"default": "deny",
"tools": {
"summarize_docx": {}
}
}summarize_docx is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
读取 docx 文档并生成摘要和完整内容的 JSON 数据，同时提取图片和表格. It is categorised as a Read tool in the TAPD Data Fetcher MCP Server, which means it retrieves data without modifying state.
Register the TAPD Data Fetcher MCP server in PolicyLayer and add a rule for summarize_docx: 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 TAPD Data Fetcher. Nothing to install.
summarize_docx 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 summarize_docx 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 summarize_docx. 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.
summarize_docx is provided by the TAPD Data Fetcher MCP server (onecuriouslearner/mcpagentre). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TAPD Data Fetcher, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
20 TAPD Data Fetcher tools catalogued and risk-classified — across an index of 43,000+ MCP servers.