List all WhatsApp chats with pagination
AI agents call list_chats to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing chat data without creating, modifying, deleting, or executing operations. The pagination indicates standard data enumeration. Despite the payment-focused server context (AP2 — Agent-to-Agent Payment Protocol), this specific tool performs only read operations on chat metadata, posing minimal risk if misused by an AI agent.
From the tool's definition Tool name is 'list_chats' and description states 'List all WhatsApp chats with pagination' — a retrieval operation with no modification or side effects.
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 Mcp Ap2, 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 all WhatsApp chats with pagination. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 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 Mcp Ap2. 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 Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.