Retrieve the facial similarity result (selfie vs document photo). Returns match decision plus confidence score. Requires a completed workflow that included a similarity/selfie capability.
AI agents call retrieve_similarity_score 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.
This tool retrieves and returns data from a completed workflow (facial similarity verification results) without modifying, deleting, or executing external operations. The operation has no side effects—it only reads and returns match decisions and confidence scores.
From the tool's definition Tool name 'retrieve_similarity_score' and description 'Retrieve the facial similarity result' and 'Returns match decision plus confidence score' indicate a read/query operation that fetches previously computed verification results.
Documented attack patterns abuse exactly the kind of access retrieve_similarity_score gives an agent:
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_similarity_score:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_similarity_score": {}
}
}retrieve_similarity_score is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve the facial similarity result (selfie vs document photo). Returns match decision plus confidence score. Requires a completed workflow that included a similarity/selfie capability. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for retrieve_similarity_score: 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.
retrieve_similarity_score is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the retrieve_similarity_score 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.
Set action: deny in the PolicyLayer policy for retrieve_similarity_score. 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.
retrieve_similarity_score 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.
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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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.