Notify Legiti of a logout event. Convenience wrapper over track_auth with action=
AI agents use track_logout to create or update resources in Mcp Ap2 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Ap2 environment.
This tool sends a notification/event to an external service (Legiti) about a logout action. It writes/posts an audit event but does not delete data, execute arbitrary code, or involve financial transactions. The blast radius is low since it only records an authentication event.
From the tool's definition Notify Legiti of a logout event. Convenience wrapper over track_auth with action=
Documented attack patterns abuse exactly the kind of access track_logout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for track_logout:
{
"version": "1",
"default": "deny",
"tools": {
"track_logout": {
"limits": [
{
"counter": "track_logout_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}track_logout 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.
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Notify Legiti of a logout event. Convenience wrapper over track_auth with action=. It is categorised as a Write tool in the Mcp Ap2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for track_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 Mcp Ap2. Nothing to install.
track_logout is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the track_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.
Set action: deny in the PolicyLayer policy for track_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.
track_logout is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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