extract_all_annotations

THE RISK

Low Risk

Why extract_all_annotations needs a policy

This tool retrieves existing annotation data from a PDF document without creating, modifying, or deleting any content. It performs a passive read operation similar to querying or fetching data. The lowest severity applies because extracting annotations poses minimal risk unless the PDF contains sensitive information, but that is a data sensitivity concern rather than a tool capability concern.

From the tool's definition Tool name contains 'extract' and description states 'Extract all annotations (notes, highlights, stamps) from PDF' — a retrieval operation with no modification capability.

Documented attack patterns abuse exactly the kind of access extract_all_annotations gives an agent:

POLICY

How to control extract_all_annotations

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP PDF, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_all_annotations:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "extract_all_annotations": {}
  }
}

extract_all_annotations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP PDF — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about extract_all_annotations

What does the extract_all_annotations tool do? +

Extract all annotations (notes, highlights, stamps) from PDF. It is categorised as a Read tool in the MCP PDF MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_all_annotations? +

Register the MCP PDF MCP server in PolicyLayer and add a rule for extract_all_annotations: 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 MCP PDF. Nothing to install.

What risk level is extract_all_annotations? +

extract_all_annotations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit extract_all_annotations? +

Yes. Add a rate_limit block to the extract_all_annotations 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.

How do I block extract_all_annotations completely? +

Set action: deny in the PolicyLayer policy for extract_all_annotations. 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.

What MCP server provides extract_all_annotations? +

extract_all_annotations is provided by the MCP PDF MCP server (rsp2k/mcp-pdf). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP PDF tool call.

Start from MCP PDF, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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