Low Risk

retrieve_facemap

Retrieve the biometric facemap (face template) generated during a workflow. Used for downstream face-search / re-verification flows; subject to biometric-data retention rules — handle accordingly.

How to control retrieve_facemap ↓

What retrieve_facemap does on Mcp Ap2

AI agents call retrieve_facemap to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why retrieve_facemap needs a policy

This tool retrieves sensitive biometric face templates, which are personally identifiable and subject to strict privacy/retention regulations (GDPR, BIPA, etc.). While technically a Read operation with no side effects on data modification, the exposure of biometric data carries high severity due to re-identification risks, privacy implications, and regulatory penalties if mishandled.

From the tool's definition 'Retrieve the biometric facemap (face template) generated during a workflow' — explicitly described as a retrieval operation that queries stored biometric data.

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

How to control retrieve_facemap

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 retrieve_facemap:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "retrieve_facemap": {}
  }
}

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

  1. Create a free account and register Mcp Ap2 — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about retrieve_facemap

What does the retrieve_facemap tool do? +

Retrieve the biometric facemap (face template) generated during a workflow. Used for downstream face-search / re-verification flows; subject to biometric-data retention rules — handle accordingly. 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 retrieve_facemap? +

Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for retrieve_facemap: 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 retrieve_facemap? +

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

Can I rate-limit retrieve_facemap? +

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

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

retrieve_facemap 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.

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