async_tool · API Docs MCP Server MCP: Risk & Policy

WHAT IT DOES

What async_tool does on API Docs MCP Server

AI agents use async_tool to create or update resources in API Docs MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your API Docs MCP Server environment.

WHY IT NEEDS A POLICY

Why async_tool needs a policy

An AI agent can call async_tool faster than any human can review — one bad instruction and it creates or modifies resources in API Docs MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

async_tool Rate-limited

async_tool stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches API Docs MCP Server, 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 Write tool in the API Docs MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on async_tool? +

Register the API Docs MCP Server 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 API Docs MCP Server. Nothing to install.

What risk level is async_tool? +

async_tool is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

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 API Docs MCP Server MCP server (shotanagafuchi/api-docs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.