set_customer_risk_action

THE RISK

Medium Risk

Why set_customer_risk_action needs a policy

This tool modifies a customer's risk status (whitelist or blacklist), which is a reversible write operation. However, it carries high severity because blacklisting a customer could block them from making payments, causing significant business impact if misused by an AI agent.

From the tool's definition Whitelist or blacklist a customer

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

POLICY

How to control set_customer_risk_action

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 set_customer_risk_action:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_customer_risk_action": {
      "limits": [
        {
          "counter": "set_customer_risk_action_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

set_customer_risk_action stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Paystack — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about set_customer_risk_action

What does the set_customer_risk_action tool do? +

Whitelist or blacklist a customer. It is categorised as a Write tool in the Paystack MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_customer_risk_action? +

Register the Paystack MCP server in PolicyLayer and add a rule for set_customer_risk_action: 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.

What risk level is set_customer_risk_action? +

set_customer_risk_action is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_customer_risk_action? +

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

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

set_customer_risk_action 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.

Enforce policy on every Paystack tool call.

Start from Paystack, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →