提取 PowerPoint 演示文稿中所有幻灯片的标题.
AI agents call extract_ppt_titles to retrieve information from Office 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 and retrieves data (slide titles) from an existing PowerPoint document without creating, modifying, deleting, or executing any operations. It is a pure read operation with minimal risk, falling clearly into the Read category with low severity.
From the tool's definition Tool name 'extract_ppt_titles' and description indicating it retrieves/extracts titles from PowerPoint slides.
Attacks that exploit this kind of access
提取 PowerPoint 演示文稿中所有幻灯片的标题. It is categorised as a Read tool in the Office MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Office MCP Server MCP server in PolicyLayer and add a rule for extract_ppt_titles: 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 Office MCP Server. Nothing to install.
extract_ppt_titles 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_ppt_titles 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_ppt_titles. 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_ppt_titles is provided by the Office MCP Server MCP server (walkingzzzy/office-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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