logout_user · Petstore MCP Server MCP: Risk & Policy

WHAT IT DOES

What logout_user does on Petstore MCP Server

AI agents invoke logout_user to trigger actions in Petstore MCP Server. 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 logout_user needs a policy

Logging out a user terminates an active session, which is an external operation with side effects (session invalidation). It's not a simple read, nor does it create/modify persistent data, delete data, or involve finances. It executes an action (session termination) on the server side. Severity is low since it only ends a session without destructive or financial consequences.

From the tool's definition Log out current logged in user session

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

logout_user Rate-limited

logout_user 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": {
    "logout_user": {
      "limits": [
        {
          "counter": "logout_user_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 Petstore MCP Server, so you can run agents against it safely.

FAQ

Questions about logout_user

What does the logout_user tool do? +

Log out current logged in user session. It is categorised as a Execute tool in the Petstore MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on logout_user? +

Register the Petstore MCP Server MCP server in PolicyLayer and add a rule for logout_user: 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 Petstore MCP Server. Nothing to install.

What risk level is logout_user? +

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

Can I rate-limit logout_user? +

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

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

logout_user is provided by the Petstore MCP Server MCP server (raghavendraprakash/mcpforrestapis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.