face_authentication

THE RISK

High Risk

Why face_authentication needs a policy

This tool triggers an external biometric authentication operation — it sends biometric data (face image) to an API endpoint, performs liveness detection and anti-spoofing analysis, and returns verdicts. It is an active operation with external side effects (identity verification decision), placing it in the Execute category.

From the tool's definition 'Face authentication against a base image', 'Returns match_score + liveness verdict + spoofing indicators', 'POST /v1/biometrics/face'

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

POLICY

How to control face_authentication

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "face_authentication": {
      "limits": [
        {
          "counter": "face_authentication_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

face_authentication stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

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

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in Mcp Afip → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about face_authentication

What does the face_authentication tool do? +

Face authentication against a base image (typically the document photo). Returns match_score + liveness verdict + spoofing indicators. POST /v1/biometrics/face. It is categorised as a Execute tool in the Mcp Afip MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on face_authentication? +

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

What risk level is face_authentication? +

face_authentication is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit face_authentication? +

Yes. Add a rate_limit block to the face_authentication 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_authentication completely? +

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

face_authentication is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Afip tool call.

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

CHECK YOUR STACK →