async_tool · Client Onboarding MCP: Risk & Policy

WHAT IT DOES

What async_tool does on Client Onboarding MCP

AI agents call async_tool as a supporting operation in Client Onboarding MCP workflows.

WHY IT NEEDS A POLICY

Why async_tool needs a policy

With no description and a generic name, there is insufficient evidence to classify this tool into any specific risk category. The server context (client onboarding, read-oriented) provides weak signals, but the tool's actual behavior is unknown. Confidence is very low and severity is kept low by default.

From the tool's definition Tool name is 'async_tool' and description is empty or uninformative — no actionable information to determine what this tool does.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

async_tool Rate-limited

async_tool gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "async_tool": {
      "limits": [
        {
          "counter": "async_tool_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Client Onboarding MCP, so you can run agents against it safely.

FAQ

Questions about async_tool

What does the async_tool tool do? +

async_tool. It is categorised as a Other tool in the Client Onboarding MCP MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on async_tool? +

Register the Client Onboarding MCP server in PolicyLayer and add a rule for async_tool: 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 Client Onboarding MCP. Nothing to install.

What risk level is async_tool? +

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

Can I rate-limit async_tool? +

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

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

async_tool is provided by the Client Onboarding MCP server (rezapars/simple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.