Get all requests that have been sent to a webhook.site endpoint.
AI agents call get_webhook_requests 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.
The tool retrieves and inspects incoming data (HTTP requests, emails, DNS lookups) sent to a webhook endpoint. It has no side effects—it does not create, modify, delete, or execute anything. Reading stored webhook request data carries minimal risk unless the requests contain sensitive information, but that is an information disclosure concern rather than a tool capability concern.
From the tool's definition 'Get all requests that have been sent to a webhook.site endpoint' — this is a read/query operation that retrieves data without modifying or deleting it. It simply fetches historical request data from an already-created webhook endpoint.
Documented attack patterns abuse exactly the kind of access get_webhook_requests 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 get_webhook_requests:
{
"version": "1",
"default": "deny",
"tools": {
"get_webhook_requests": {}
}
} get_webhook_requests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all requests that have been sent to a webhook.site endpoint. 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 get_webhook_requests: 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.
get_webhook_requests 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_webhook_requests 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_webhook_requests. 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_webhook_requests 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.