Fetch all pay-ins and pay-outs that occurred on your Paystack integration
AI agents call balance_ledger 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 historical financial transaction data for inspection purposes. While it accesses financial information, it performs no writes, deletes, or financial movements. The blast radius is minimal—an AI agent querying this tool cannot commit unauthorized payments, drain accounts, or modify records. It is purely informational, fitting the Read category at low severity.
From the tool's definition Tool fetches balance ledger data (pay-ins and pay-outs) with no modification capability. Description uses "Fetch" which indicates retrieval only.
Documented attack patterns abuse exactly the kind of access balance_ledger 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 balance_ledger:
{
"version": "1",
"default": "deny",
"tools": {
"balance_ledger": {}
}
} balance_ledger is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Fetch all pay-ins and pay-outs that occurred on your Paystack integration. 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 balance_ledger: 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.
balance_ledger 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 balance_ledger 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 balance_ledger. 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.
balance_ledger 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.
Free to start. No card required.
28 Paystack tools catalogued and risk-classified — across an index of 43,000+ MCP servers.