auth_logout · AF_ MCP: Risk & Policy

WHAT IT DOES

What auth_logout does on AF_MCP

AI agents invoke auth_logout to trigger actions in AF_MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why auth_logout needs a policy

This tool terminates an authentication session, which is an external operation with side effects (invalidating credentials/session tokens). It doesn't read data, write persistent data, or destroy data irreversibly, but it does trigger an external state change (session termination) on the AF security device. Misuse could disrupt ongoing security operations or lock out legitimate management access.

From the tool's definition 注销当前 host/namespace 的本地会话与 AF 登录状态 (logs out current host/namespace local session and AF login state)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auth_logout Rate-limited

auth_logout stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "auth_logout": {
      "limits": [
        {
          "counter": "auth_logout_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about auth_logout

What does the auth_logout tool do? +

注销当前 host/namespace 的本地会话与 AF 登录状态。. It is categorised as a Execute tool in the AF_MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on auth_logout? +

Register the AF_ MCP server in PolicyLayer and add a rule for auth_logout: 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 AF_MCP. Nothing to install.

What risk level is auth_logout? +

auth_logout is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit auth_logout? +

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

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

auth_logout is provided by the AF_ MCP server (xiaqijun/af_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.