finalize_proposal · Clink MCP Server MCP: Risk & Policy

WHAT IT DOES

What finalize_proposal does on Clink MCP Server

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

WHY IT NEEDS A POLICY

Why finalize_proposal needs a policy

finalize_proposal 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_proposal Approval-gated

Any call to finalize_proposal 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_proposal": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

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Instant setup, no code required.

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

FAQ

Questions about finalize_proposal

What does the finalize_proposal tool do? +

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

How do I enforce a policy on finalize_proposal? +

Register the Clink MCP Server MCP server in PolicyLayer and add a rule for finalize_proposal: 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 Clink MCP Server. Nothing to install.

What risk level is finalize_proposal? +

finalize_proposal 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_proposal? +

Yes. Add a rate_limit block to the finalize_proposal 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_proposal completely? +

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

finalize_proposal is provided by the Clink MCP Server MCP server (voxos-ai-inc/clink-mcp-server-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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