AI agents invoke restart-gpu-instance to trigger actions in Novita 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.
Restarting a GPU instance is an Execute action: it runs/triggers an external operation (instance restart) whose effects depend on which instance is targeted. It is not a Read (no data retrieval), not Write in the reversible sense (restart is an operational state change, not data creation/modification), not Destructive (no permanent deletion), not Financial, and not mere Read.
From the tool's definition Tool name 'restart-gpu-instance' indicates triggering an external operation on GPU infrastructure. Server description confirms it 'enables seamless management of Novita AI platform resources' and 'GPU instance operations (list, create, start, stop, etc.)'…
Documented attack patterns abuse exactly the kind of access restart-gpu-instance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Novita MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for restart-gpu-instance:
{
"version": "1",
"default": "deny",
"tools": {
"restart-gpu-instance": {
"limits": [
{
"counter": "restart-gpu-instance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} restart-gpu-instance 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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restart-gpu-instance. It is categorised as a Execute tool in the Novita MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Novita MCP Server MCP server in PolicyLayer and add a rule for restart-gpu-instance: 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 Novita MCP Server. Nothing to install.
restart-gpu-instance 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 restart-gpu-instance 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 restart-gpu-instance. 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.
restart-gpu-instance is provided by the Novita MCP Server MCP server (novitalabs/novita-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Novita 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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20 Novita MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.