async_tool_with_params

THE RISK

Low Risk

Why async_tool_with_params needs a policy

The description provides no actionable information about the tool's function, data access, or side effects. The name 'async_tool_with_params' is equally uninformative. Without any meaningful description, it is impossible to determine the correct risk category. Confidence is very low; defaulting to Other with low severity as a placeholder, but this tool should be reviewed with a proper description.

From the tool's definition Tool description is 'An async tool with parameters' — completely uninformative about what the tool does.

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

POLICY

How to control async_tool_with_params

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

policy.json

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

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

Create a free account and register Vultr MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about async_tool_with_params

What does the async_tool_with_params tool do? +

An async tool with parameters. It is categorised as a Other tool in the Vultr MCP MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on async_tool_with_params? +

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

What risk level is async_tool_with_params? +

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

Can I rate-limit async_tool_with_params? +

Yes. Add a rate_limit block to the async_tool_with_params 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_with_params completely? +

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

async_tool_with_params is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vultr MCP tool call.

Start from Vultr MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →