AI agents call get_default_port_config_model 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.
The 'get_' prefix is a strong indicator of read-only retrieval operations. Without a description, confidence is moderate. Retrieving default port configuration models has no side effects and presents minimal risk if misused by an AI agent—it only returns existing configuration data.
From the tool's definition Tool name 'get_default_port_config_model' suggests retrieval of configuration model data ('get' prefix, 'config' object).
Documented attack patterns abuse exactly the kind of access get_default_port_config_model 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_default_port_config_model:
{
"version": "1",
"default": "deny",
"tools": {
"get_default_port_config_model": {}
}
}get_default_port_config_model is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_default_port_config_model. 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_default_port_config_model: 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_default_port_config_model 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_default_port_config_model 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_default_port_config_model. 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_default_port_config_model 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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