Wait for an email to be received at the webhook
AI agents call wait_for_email to retrieve information from Webhook Site MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool monitors/polls a webhook endpoint waiting for an incoming email to arrive. It retrieves/reads data (the email) without modifying or creating resources. The operation is read-only — it waits and returns email data when received. Low severity since it only reads incoming email data at a webhook endpoint the user controls.
From the tool's definition Wait for an email to be received at the webhook
Documented attack patterns abuse exactly the kind of access wait_for_email gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Webhook Site MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for wait_for_email:
{
"version": "1",
"default": "deny",
"tools": {
"wait_for_email": {}
}
} wait_for_email is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Wait for an email to be received at the webhook. It is categorised as a Read tool in the Webhook Site MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Webhook Site MCP Server MCP server in PolicyLayer and add a rule for wait_for_email: 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 Webhook Site MCP Server. Nothing to install.
wait_for_email 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 wait_for_email 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 wait_for_email. 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.
wait_for_email is provided by the Webhook Site MCP Server MCP server (zebbern/webhook-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Webhook Site 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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23 Webhook Site MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.