Get WhatsApp instance connection status
AI agents call get_status 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 queries the connection status of a WhatsApp instance, which is a read-only operation that has no side effects. It does not create, modify, delete, execute commands, or involve financial transactions. The low severity reflects that misuse would only expose status information with no ability to cause damage or access sensitive data directly.
From the tool's definition Tool name is 'get_status' and description states 'Get WhatsApp instance connection status' — this retrieves status information without modifying any data.
Documented attack patterns abuse exactly the kind of access get_status 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 get_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_status": {}
}
} get_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get WhatsApp instance connection status. 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 get_status: 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.
get_status 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 get_status 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 get_status. 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.
get_status 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.