AI agents call search_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 tool retrieves matching text from a PDF document. It performs a search operation which is purely informational—it reads data without creating, modifying, deleting, or executing code. The operation is non-destructive and has no blast radius if misused beyond potentially revealing sensitive information already accessible within the opened PDF.
From the tool's definition Tool name 'search_text' and description 'Search for text within the current PDF' indicate querying/retrieval of text content with no modification or side effects.
Attacks that exploit this kind of access
Search for text within the current PDF. 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 search_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.
search_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 search_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 search_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.
search_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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