This tool will help fetch the document analyzed during the workflow execution
AI agents call fetch_documents to retrieve information from Daraja MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool itself performs a read-only operation (fetch/retrieve), which is categorized as Read. Severity is medium rather than low because the documents retrieved during M-Pesa workflows likely contain sensitive financial and personal data; unauthorized or erroneous fetching could expose transaction details, account information, or payment records.
From the tool's definition Tool is named 'fetch_documents' and described as fetching 'the document analyzed during the workflow execution' — a retrieval operation with no modification.
Documented attack patterns abuse exactly the kind of access fetch_documents gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Daraja MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for fetch_documents:
{
"version": "1",
"default": "deny",
"tools": {
"fetch_documents": {}
}
}fetch_documents is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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This tool will help fetch the document analyzed during the workflow execution. It is categorised as a Read tool in the Daraja MCP MCP Server, which means it retrieves data without modifying state.
Register the Daraja MCP server in PolicyLayer and add a rule for fetch_documents: 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 MCP. Nothing to install.
fetch_documents 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 fetch_documents 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 fetch_documents. 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.
fetch_documents is provided by the Daraja MCP server (jameskanyiri/darajamcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Daraja MCP, 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.
8 Daraja MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.