Retrieve a customer by id. Returns the customer profile plus metadata.
AI agents call retrieve_customer 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 queries and returns customer profile data without side effects. It is a straightforward read operation analogous to a GET endpoint. While customer data may be sensitive, the tool itself performs no destructive, financial, or state-changing operations. Severity is low because retrieving existing customer information poses minimal risk compared to tools that modify state or move money.
From the tool's definition Tool name 'retrieve_customer' and description 'Retrieve a customer by id. Returns the customer profile plus metadata.' indicate a data retrieval operation with no modification, deletion, or financial transaction.
Documented attack patterns abuse exactly the kind of access retrieve_customer 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_customer:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_customer": {}
}
}retrieve_customer is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve a customer by id. Returns the customer profile plus metadata. 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_customer: 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_customer 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_customer 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_customer. 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_customer 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.