AI agents call get_custom_application to retrieve information from Fortimanager without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data about a custom application without modifying, executing, or deleting anything. It falls squarely within the Read category. The severity is low because reading configuration details poses minimal risk even if misused by an AI agent—the worst outcome is information disclosure about application definitions, which is not operationally destructive.
From the tool's definition Tool name 'get_custom_application' and description 'Get details of a custom application' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_custom_application 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 get_custom_application:
{
"version": "1",
"default": "deny",
"tools": {
"get_custom_application": {}
}
}get_custom_application is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a custom application. It is categorised as a Read tool in the Fortimanager MCP Server, which means it retrieves data without modifying state.
Register the Fortimanager MCP server in PolicyLayer and add a rule for get_custom_application: 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.
get_custom_application is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_custom_application 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 get_custom_application. 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.
get_custom_application 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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584 Fortimanager tools catalogued and risk-classified — across an index of 43,000+ MCP servers.