Get details of a specific customer by email or code
AI agents call get_customer to retrieve information from Paystack 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 without creating, modifying, deleting, or executing any operations. It is a pure read operation that queries the Paystack system for customer details. While it operates in a financial context (Paystack), the tool itself does not move money, commit financial obligations, or perform destructive actions—it merely fetches data.
From the tool's definition Tool name 'get_customer' and description 'Get details of a specific customer by email or code' indicate retrieval of existing customer data with no modification or side effects.
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 Paystack, 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 details of a specific customer by email or code. It is categorised as a Read tool in the Paystack MCP Server, which means it retrieves data without modifying state.
Register the Paystack 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 Paystack. 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 Paystack MCP server (kohasummons/paystack-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Paystack, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 Paystack tools catalogued and risk-classified — across an index of 43,000+ MCP servers.