finalize_review · Paper Distill MCP: Risk & Policy

WHAT IT DOES

What finalize_review does on Paper Distill MCP

AI agents use finalize_review to commit financial operations through Paper Distill MCP — usually the final step of a payment, billing, or trading workflow. A call moves real money.

WHY IT NEEDS A POLICY

Why finalize_review needs a policy

finalize_review moves real money, and an autonomous agent will call it with the same confidence it calls a search tool. A misread instruction or an injected prompt is all it takes to drain an account or blow a budget.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

finalize_review Approval-gated

Any call to finalize_review is blocked until a human approves it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "finalize_review": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

GATE THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Paper Distill MCP, so you can run agents against it safely.

FAQ

Questions about finalize_review

What does the finalize_review tool do? +

finalize_review. It is categorised as a Financial tool in the Paper Distill MCP MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

How do I enforce a policy on finalize_review? +

Register the Paper Distill MCP server in PolicyLayer and add a rule for finalize_review: 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 Paper Distill MCP. Nothing to install.

What risk level is finalize_review? +

finalize_review is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit finalize_review? +

Yes. Add a rate_limit block to the finalize_review 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 finalize_review completely? +

Set action: deny in the PolicyLayer policy for finalize_review. 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 finalize_review? +

finalize_review is provided by the Paper Distill MCP server (pypi:paper-distill-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →