assign_prerun_cli_template

A write tool on the Fortimanager MCP server.

SERVERFortimanager SOURCEjmpijll/fortimanager-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/jmpijll-fortimanager-mcp/assign-prerun-cli-template.md

WHAT IT DOES

What assign_prerun_cli_template does on Fortimanager

AI agents use assign_prerun_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.

RISK

Why assign_prerun_cli_template is rated Medium

This tool modifies FortiManager configurations by assigning CLI templates, which is a Write operation (configuration updates). The severity is high because misassignment of CLI templates across network devices could cause widespread misconfiguration or operational disruption.

From the tool's definition Tool name 'assign_prerun_cli_template' indicates assignment/modification of CLI templates in FortiManager. Sibling tools like 'add_custom_command_to_template' and 'add_template_to_group' confirm this server performs template and configuration modifications.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs assign_prerun_cli_template safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Fortimanager, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For assign_prerun_cli_template, this is the rule to start with:

assign_prerun_cli_template Rate-limited

assign_prerun_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "assign_prerun_cli_template": {
      "limits": [
        {
          "counter": "assign_prerun_cli_template_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Fortimanager, apply this rule, and every assign_prerun_cli_template call is checked against it from then on.

FAQ

Questions about assign_prerun_cli_template

What does the assign_prerun_cli_template tool do? +

assign_prerun_cli_template is a write tool on the Fortimanager MCP server. 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.

How do I enforce a policy on assign_prerun_cli_template? +

Register the Fortimanager MCP server in PolicyLayer and add a rule for assign_prerun_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.

What risk level is assign_prerun_cli_template? +

assign_prerun_cli_template is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit assign_prerun_cli_template? +

Yes. Add a rate_limit block to the assign_prerun_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.

How do I block assign_prerun_cli_template completely? +

Set action: deny in the PolicyLayer policy for assign_prerun_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.

What MCP server provides assign_prerun_cli_template? +

assign_prerun_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.

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