Low Risk

request_approval

Request approval for an operation before executing it.

How to control request_approval ↓

AI agents call request_approval to retrieve information from Preloop without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Even though request_approval only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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

PolicyLayer is an MCP gateway — it sits between your AI agents and Preloop, and nothing reaches the server without passing your rules. This is the rule we recommend for request_approval:

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

request_approval 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 Preloop — 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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Go deeper

What does the request_approval tool do? +

Request approval for an operation before executing it. It is categorised as a Read tool in the Preloop MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on request_approval? +

Register the Preloop MCP server in PolicyLayer and add a rule for request_approval: 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 Preloop. Nothing to install.

What risk level is request_approval? +

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

Can I rate-limit request_approval? +

Yes. Add a rate_limit block to the request_approval 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 request_approval completely? +

Set action: deny in the PolicyLayer policy for request_approval. 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 request_approval? +

request_approval is provided by the Preloop MCP server (preloop/preloop). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Preloop tool call.

Deterministic rules across all 15 Preloop tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

15 Preloop tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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