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rstierli

FortiManager MCP Server

by rstierli

get_adom

Retrieve detailed configuration of a specific ADOM, including optional sub-objects, to inspect its state and settings.

Instructions

Get detailed information about a specific ADOM.

Args: name: ADOM name (e.g., "root", "customer-a") include_details: Include sub-objects (default: False)

Returns: dict: ADOM details with keys: - status: "success" or "error" - adom: ADOM object with full configuration - message: Error message if failed

Example: >>> result = await get_adom("root") >>> print(f"State: {result['adom']['state']}")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
include_detailsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the return structure (status, adom, message) and includes an example. While it does not explicitly state read-only behavior, the verb 'Get' implies it. Describes error handling via message key.

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?

Description is well-structured with Args, Returns, and Example sections. Every sentence adds value, and the content is appropriately sized for the tool's simplicity.

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

Completeness5/5

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

Despite having an output schema, the description provides additional context via an example and error handling details. For a simple 2-parameter tool, the description is complete and leaves no ambiguity.

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 description coverage is 0%, so the description must compensate. It does so effectively: explains 'name' with examples ('root', 'customer-a') and 'include_details' with 'Include sub-objects (default: False)'. This adds significant meaning beyond the 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?

Description clearly states 'Get detailed information about a specific ADOM' using a specific verb and resource, and the tool is distinct from sibling get_* tools that target different resources.

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

Usage Guidelines4/5

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

The description implicitly indicates when to use (to get ADOM details) but does not provide explicit when-not-to-use or alternatives. The context of sibling tools provides natural differentiation.

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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