AI agents call search_daraja_apis to retrieve information from Daraja API MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches API documentation, which is a read-only operation with no ability to execute transactions, modify data, or trigger external operations. The empty description is compensated by clear contextual evidence from the server purpose and sibling tools.
From the tool's definition Tool name 'search_daraja_apis' and server context indicate querying/searching documentation for Safaricom Daraja API. No side effects or data modification described.
Documented attack patterns abuse exactly the kind of access search_daraja_apis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Daraja API MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_daraja_apis:
{
"version": "1",
"default": "deny",
"tools": {
"search_daraja_apis": {}
}
}search_daraja_apis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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search_daraja_apis. It is categorised as a Read tool in the Daraja API MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Daraja API MCP Server MCP server in PolicyLayer and add a rule for search_daraja_apis: 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 Daraja API MCP Server. Nothing to install.
search_daraja_apis 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 search_daraja_apis 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 search_daraja_apis. 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.
search_daraja_apis is provided by the Daraja API MCP Server MCP server (jackscodevault/mpesa-daraja-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Daraja API MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Daraja API MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.