Low Risk

search_requests

Search requests sent to a webhook with query filters (method, content, headers, date range, type).

How to control search_requests ↓

What search_requests does on Webhook Site MCP Server

AI agents call search_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.

Low Risk

Why search_requests needs a policy

This tool performs data retrieval and querying operations only. It searches/filters requests by method, content, headers, date range, and type, with no side effects. No data is created, modified, deleted, or executed. This is a classic Read category operation.

From the tool's definition Tool name is 'search_requests' and description states it 'Search requests sent to a webhook with query filters' — a read-only operation that retrieves and filters existing request data without modification or deletion.

Documented attack patterns abuse exactly the kind of access search_requests gives an agent:

How to control search_requests

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 search_requests:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_requests": {}
  }
}

search_requests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Webhook Site MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_requests

What does the search_requests tool do? +

Search requests sent to a webhook with query filters (method, content, headers, date range, type). It is categorised as a Read tool in the Webhook Site MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_requests? +

Register the Webhook Site MCP Server MCP server in PolicyLayer and add a rule for search_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.

What risk level is search_requests? +

search_requests is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_requests? +

Yes. Add a rate_limit block to the search_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.

How do I block search_requests completely? +

Set action: deny in the PolicyLayer policy for search_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.

What MCP server provides search_requests? +

search_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.

Enforce policy on every Webhook Site MCP Server tool call.

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.

Free to start. No card required.

23 Webhook Site MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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