face_match

THE RISK

Low Risk

Why face_match needs a policy

The tool performs identity verification by comparing biometric data and returning a similarity score and match verdict. This is a read-only operation that retrieves/queries matching results without creating, modifying, deleting data, or committing financial obligations. While sensitive data is involved (biometric comparison), the tool itself only reads and compares, making it a Read category risk.

From the tool's definition Tool description specifies 'biometric 1:1 comparison' and 'returns a similarity score and a boolean match verdict' — this is a comparison operation with no side effects, data modification, or financial transaction.

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

POLICY

How to control face_match

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for face_match:

policy.json

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

face_match 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 Ap2 — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

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 face_match

What does the face_match tool do? +

IDPay: biometric 1:1 comparison between a live selfie and a document photo. Returns a similarity score (0-1) and a boolean match verdict at Unico. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on face_match? +

Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for face_match: 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 Ap2. Nothing to install.

What risk level is face_match? +

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

Can I rate-limit face_match? +

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

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

face_match is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Ap2 tool call.

Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →