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awslabs

amazon-datazone-mcp-server

Official
by awslabs

create_domain_unit

Create a domain unit in Amazon DataZone to organize data assets under a parent domain unit, with optional description and idempotency token.

Instructions

Creates a new domain unit in Amazon DataZone.

Args: domain_identifier (str): The ID of the domain where the domain unit will be created Pattern: ^dzd[-][a-zA-Z0-9-]{1,36}$ name (str): The name of the domain unit (1-128 characters) Pattern: ^[\w -]+$ parent_domain_unit_identifier (str): The ID of the parent domain unit Pattern: ^[a-z0-9_-]+$ description (str, optional): Description of the domain unit (0-2048 characters) client_token (str, optional): A unique token to ensure idempotency (1-128 characters) Pattern: ^[\x21-\x7E]+$

Returns: Dict containing: - id: Domain unit identifier - name: Domain unit name - description: Domain unit description - domain_id: Domain ID - parent_domain_unit_id: Parent domain unit ID - ancestor_domain_unit_ids: List of ancestor domain unit IDs - created_at: Creation timestamp - created_by: Creator information - owners: List of domain unit owners

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionNo
client_tokenNo
domain_identifierYes
parent_domain_unit_identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations exist, so description carries full burden. It details arguments and return shape but does not mention side effects (e.g., idempotency via client_token is implied but not stated), permissions, or error conditions. Adequate but not comprehensive.

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?

Well-structured: leading statement, then Args and Returns sections. Concisely covers details without extraneous content. Could be slightly tighter (e.g., remove redundant pattern text), but overall efficient.

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?

Covers parameters and return value adequately given output schema exists. Missing prerequisites (e.g., domain must exist, parent must exist) and error handling. Adequate but could benefit from more domain context.

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 description adds significant value by documenting all five parameters with patterns, constraints, and optional notes. It lacks explicit default values but still provides meaning beyond the bare 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 'Creates a new domain unit in Amazon DataZone', which is a specific verb and resource. It distinguishes from sibling tools like create_domain (which creates a domain) and get_domain_unit (which retrieves).

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?

No explicit guidance on when to use or when not to use this tool versus alternatives. The name implies creation, but no context like 'use when you need to add a new organizational unit within an existing domain' is provided.

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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