Restart MCP or SSE server to recover from errors
AI agents invoke server-restart to trigger actions in Ansible. 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 server is an active operation that interrupts services and can cause downtime, data loss if transactions are in-flight, or cascade failures in dependent systems. This is Execute (not Destructive) because restart is theoretically reversible and the server state is preserved; however, it has significant blast radius and operational impact if triggered inappropriately by an agent.
From the tool's definition 'Restart MCP or SSE server' — triggers an external operational effect (server restart) that is command-execution in nature and whose full consequences depend on system state and configuration.
Documented attack patterns abuse exactly the kind of access server-restart gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ansible, and nothing reaches the server without passing your rules. This is the rule we recommend for server-restart:
{
"version": "1",
"default": "deny",
"tools": {
"server-restart": {
"limits": [
{
"counter": "server-restart_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}server-restart 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 MCP or SSE server to recover from errors. It is categorised as a Execute tool in the Ansible MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ansible MCP server in PolicyLayer and add a rule for server-restart: 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 Ansible. Nothing to install.
server-restart 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 server-restart 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 server-restart. 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.
server-restart is provided by the Ansible MCP server (washyu/ansible-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ansible, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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90 Ansible tools catalogued and risk-classified — across an index of 43,000+ MCP servers.