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FortiManager MCP Server

by rstierli

add_model_device

Add a model device to FortiManager for offline pre-configuration, enabling zero-touch provisioning before the physical device connects.

Instructions

Add a model device for offline provisioning.

Model devices allow pre-configuring policies and settings before the actual device connects to FortiManager. Useful for zero-touch provisioning workflows.

Args: adom: ADOM name where device will be added name: Device display name serial_number: Device serial number (e.g., "FGVM020000123456") platform: Platform type (default: "FortiGate-VM64") os_version: FortiOS version (default: "7.0") description: Device description

Returns: dict: Add result with keys: - status: "success" or "error" - device: Added device information - message: Status or error message

Example: >>> result = await add_model_device( ... adom="root", ... name="FGT-NewBranch", ... serial_number="FGVM02TM12345678", ... platform="FortiGate-60F", ... os_version="7.4" ... )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adomYes
nameYes
serial_numberYes
platformNoFortiGate-VM64
os_versionNo7.0
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It describes the tool's purpose (adding a model device) but does not disclose behavioral traits like permissions needed, side effects, or that it does not add an actual device. The description is adequate but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured: introductory sentence, conceptual explanation, then clear Args, Returns, and Example sections. Every part is useful and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema (mentioned in context), the description still includes a helpful Returns section. It covers purpose, parameters, returns, and an example. Could mention prerequisites like ADOM existence, but otherwise complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but the description provides clear explanations for all 6 parameters in the Args section, including default values and an example serial number. This adds significant meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a model device for offline provisioning' and explains that model devices allow pre-configuring policies and settings before the actual device connects. This distinguishes it from sibling tools like add_device (adds actual device) and add_devices_bulk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions usefulness for zero-touch provisioning workflows but does not explicitly say when not to use this tool or compare it directly with alternatives like add_device. Usage context is implied but not fully explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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