AI agents invoke install_policy_package to trigger actions in Fortimanager. 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.
Installing a policy package on FortiManager pushes firewall/security policies to live network devices, which is an irreversible external operation affecting network security posture. The empty description reduces confidence, but the name and context (FortiManager policy management, sibling 'abort_policy_install') strongly indicate this triggers a deployment to managed devices.
From the tool's definition Tool name 'install_policy_package' on a FortiManager MCP server; sibling tools include 'abort_policy_install', suggesting this triggers a policy deployment operation to network devices.
Documented attack patterns abuse exactly the kind of access install_policy_package 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 install_policy_package:
{
"version": "1",
"default": "deny",
"tools": {
"install_policy_package": {
"limits": [
{
"counter": "install_policy_package_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}install_policy_package 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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install_policy_package. It is categorised as a Execute tool in the Fortimanager MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Fortimanager MCP server in PolicyLayer and add a rule for install_policy_package: 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.
install_policy_package 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 install_policy_package 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 install_policy_package. 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.
install_policy_package 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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