AI agents use set_policy_label 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.
The tool modifies policy labels, which are configuration data in FortiManager (a network security management platform). This is a reversible Write operation—labels can be changed or removed. However, mislabeling security policies could obscure their purpose or cause confusion in firewall rule management, justifying 'high' severity.
From the tool's definition Tool name 'set_policy_label' indicates modification of policy labels in FortiManager. No description provided, but the name strongly suggests updating/writing configuration data.
Documented attack patterns abuse exactly the kind of access set_policy_label 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 set_policy_label:
{
"version": "1",
"default": "deny",
"tools": {
"set_policy_label": {
"limits": [
{
"counter": "set_policy_label_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}set_policy_label 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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set_policy_label. 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 set_policy_label: 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.
set_policy_label 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 set_policy_label 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 set_policy_label. 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.
set_policy_label 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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