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rstierli

FortiManager MCP Server

by rstierli

create_application_list

Creates an application-control list in a specified ADOM, letting you set actions for unknown and other applications and optionally enable deep application inspection.

Instructions

Create an application-control list.

Args: adom: ADOM name name: List name comment: Optional comment deep_app_inspection: Enable/disable deep application inspection - "enable" or "disable" (optional) unknown_application_action: Pass or block traffic from unknown applications - "pass" or "block" (optional) other_application_action: Action for other applications - "pass" or "block" (optional)

Returns: dict: Create result with keys: - status: "success" or "error" - name: Created list name - message: Status or error message

Example: >>> result = await create_application_list( ... adom="root", ... name="strict-appctrl", ... unknown_application_action="block", ... other_application_action="block", ... )

Input Schema

NameRequiredDescriptionDefault
adomYes
nameYes
commentNo
deep_app_inspectionNo
other_application_actionNo
unknown_application_actionNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.12.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses return keys and allowed values for optional flags, but does not mention permissions, whether a commit is required afterward, duplicate-name handling, or other mutation-specific side effects.

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

Conciseness4/5

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

The description is front-loaded with the purpose and uses a clean Args/Returns/Example structure. It is somewhat verbose because the Returns section duplicates output information, but the example earns its place by showing a realistic invocation.

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

Completeness3/5

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

The description covers all parameters, return keys, and an example, which is enough for basic invocation. However, for a mutation tool with no annotations, it omits lifecycle context such as commit requirements, permission needs, and behavior on duplicate list names.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It names all six parameters and adds meaningful semantics, especially allowed values such as "enable"/"disable" and "pass"/"block" for the optional fields.

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

Purpose4/5

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

The description states a specific verb and resource: "Create an application-control list." This clearly distinguishes it from sibling read/update/delete operations, though it does not explicitly name those alternatives.

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

Usage Guidelines2/5

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

The description does not explain when to create a new list versus using update_application_list or deleting an existing one. The example shows how to invoke it, but provides no selection guidance, prerequisites, or exclusions.

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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