AI agents invoke finish_exam_day_mode to trigger actions in N Lobby 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.
This tool triggers an external operational state change (finishing exam day mode) in the school portal system. While the description is minimal, 'finishing' an exam day mode likely involves terminating a time-sensitive, high-stakes session or mode that cannot easily be reversed - potentially affecting students' ability to access exam resources.
From the tool's definition 'Finish exam day mode' - triggers an external operation that ends a special exam day state in the school portal
Documented attack patterns abuse exactly the kind of access finish_exam_day_mode gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and N Lobby MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for finish_exam_day_mode:
{
"version": "1",
"default": "deny",
"tools": {
"finish_exam_day_mode": {
"limits": [
{
"counter": "finish_exam_day_mode_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} finish_exam_day_mode 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.
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Finish exam day mode. It is categorised as a Execute tool in the N Lobby MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the N Lobby MCP Server MCP server in PolicyLayer and add a rule for finish_exam_day_mode: 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 N Lobby MCP Server. Nothing to install.
finish_exam_day_mode is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the finish_exam_day_mode 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 finish_exam_day_mode. 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.
finish_exam_day_mode is provided by the N Lobby MCP Server MCP server (minagishl/nlobby-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from N Lobby MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 N Lobby MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.