AI agents call get_page_text to retrieve information from MokuPDF without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval tool that extracts text content from PDF pages without creating, modifying, deleting, or executing any operations. It falls clearly into the Read category with low severity as it poses minimal risk even if misused by an AI agent.
From the tool's definition The tool is described as 'Extract text from a specific page' which is a retrieval operation with no modification of data. It aligns with the server's purpose of 'read and process PDF files with intelligent file search, text extraction'.
Attacks that exploit this kind of access
Extract text from a specific page. It is categorised as a Read tool in the MokuPDF MCP Server, which means it retrieves data without modifying state.
Register the MokuPDF MCP server in PolicyLayer and add a rule for get_page_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 MokuPDF. Nothing to install.
get_page_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 get_page_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 get_page_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.
get_page_text is provided by the MokuPDF MCP server (jameslovespancakes/mokupdf). 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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