AI agents use assign_cli_template to create or update resources in Fortimanager — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Fortimanager environment.
Based on the name, this tool likely assigns a CLI template to one or more network devices in FortiManager. Assigning templates modifies device configuration, which is a Write operation. However, the blast radius is high because applying CLI templates to network devices can alter firewall/network configurations at scale. Confidence is reduced due to the empty description.
From the tool's definition Tool name 'assign_cli_template' suggests assigning a CLI template to a device or group; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access assign_cli_template gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Fortimanager, and nothing reaches the server without passing your rules. This is the rule we recommend for assign_cli_template:
{
"version": "1",
"default": "deny",
"tools": {
"assign_cli_template": {
"limits": [
{
"counter": "assign_cli_template_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}assign_cli_template 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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assign_cli_template. It is categorised as a Write tool in the Fortimanager MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Fortimanager MCP server in PolicyLayer and add a rule for assign_cli_template: 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 Fortimanager. Nothing to install.
assign_cli_template 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 assign_cli_template 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 assign_cli_template. 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.
assign_cli_template is provided by the Fortimanager MCP server (jmpijll/fortimanager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Fortimanager, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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