AI agents call list_chats to retrieve information from WhatsApp MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
list_chats retrieves and enumerates chat conversations—a read operation. However, severity is medium rather than low because WhatsApp chats often contain sensitive personal, financial, or confidential information. An AI agent with access could exfiltrate private communications, contact details, or business secrets at scale, even without modification capability.
From the tool's definition Tool named 'list_chats' on a WhatsApp MCP server; sibling tools include 'get_chat', 'get_message_context', 'list_messages', 'search_messages' (all Read operations) and 'send_message' (Write).
Documented attack patterns abuse exactly the kind of access list_chats gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and WhatsApp MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_chats:
{
"version": "1",
"default": "deny",
"tools": {
"list_chats": {}
}
}list_chats is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_chats. It is categorised as a Read tool in the WhatsApp MCP Server MCP Server, which means it retrieves data without modifying state.
Register the WhatsApp MCP Server MCP server in PolicyLayer and add a rule for list_chats: 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 WhatsApp MCP Server. Nothing to install.
list_chats 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 list_chats 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 list_chats. 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.
list_chats is provided by the WhatsApp MCP Server MCP server (jlucaso1/whatsapp-mcp-ts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from WhatsApp 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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7 WhatsApp MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.