AI agents use logout to create or update resources in eClass MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your eClass MCP Server environment.
Logout invalidates/destroys the current session token or cookie, which is a state-modifying write operation. It is reversible in the sense that the user can log back in. It does not delete data, execute code, or have financial implications. Severity is low since the worst misuse is disrupting the agent's own session.
From the tool's definition 'Log out from eClass' — terminates the current authenticated session
Documented attack patterns abuse exactly the kind of access logout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and eClass MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for logout:
{
"version": "1",
"default": "deny",
"tools": {
"logout": {
"limits": [
{
"counter": "logout_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}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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Log out from eClass. It is categorised as a Write tool in the eClass MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the eClass MCP Server MCP server in PolicyLayer and add a rule for 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 eClass MCP Server. Nothing to install.
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 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 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.
logout is provided by the eClass MCP Server MCP server (sdi2200262/eclass-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from eClass MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 eClass MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.