Get a single customer by ID, including their address list and order count.
AI agents call get_customer to retrieve information from Sapo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves customer information and metadata (address list, order count) without creating, modifying, deleting, or executing any operations. It is a straightforward query operation with no side effects, fitting the Read category.
From the tool's definition Tool name 'get_customer' and description 'Get a single customer by ID, including their address list and order count' explicitly indicate retrieval of customer data with no modification or deletion.
Documented attack patterns abuse exactly the kind of access get_customer gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sapo, and nothing reaches the server without passing your rules. This is the rule we recommend for get_customer:
{
"version": "1",
"default": "deny",
"tools": {
"get_customer": {}
}
} get_customer is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a single customer by ID, including their address list and order count. It is categorised as a Read tool in the Sapo MCP Server, which means it retrieves data without modifying state.
Register the Sapo MCP server in PolicyLayer and add a rule for get_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 Sapo. Nothing to install.
get_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 get_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 get_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.
get_customer is provided by the Sapo MCP server (nguyennguyenit/sapo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sapo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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93 Sapo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.