AI agents invoke cli_reload_firewall to trigger actions in OPNSense 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 executes a CLI command to reload firewall rules on the OPNSense firewall. This is an Execute-category action as it triggers an external operation (reloading active firewall rules). The blast radius is high because reloading firewall rules could disrupt network traffic, expose previously blocked connections, or lock out legitimate access if misconfigured rules are applied.
From the tool's definition "Reload firewall rules via CLI"
Documented attack patterns abuse exactly the kind of access cli_reload_firewall gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OPNSense MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cli_reload_firewall:
{
"version": "1",
"default": "deny",
"tools": {
"cli_reload_firewall": {
"limits": [
{
"counter": "cli_reload_firewall_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}cli_reload_firewall 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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Reload firewall rules via CLI. It is categorised as a Execute tool in the OPNSense MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OPNSense MCP Server MCP server in PolicyLayer and add a rule for cli_reload_firewall: 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 OPNSense MCP Server. Nothing to install.
cli_reload_firewall 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 cli_reload_firewall 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 cli_reload_firewall. 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.
cli_reload_firewall is provided by the OPNSense MCP Server MCP server (vespo92/opnsensemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 196 OPNSense MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
196 OPNSense MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.