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awslabs

amazon-datazone-mcp-server

Official
by awslabs

create_domain

Create a new Amazon DataZone domain by providing a name, execution role, and service role. Optionally set version, encryption, tags, and single sign-on.

Instructions

Creates a new Amazon DataZone domain.

Args: name (str): The name of the domain domain_execution_role (str): The ARN of the domain execution role service_role (str): The ARN of the service role domain_version (str, optional): The version of the domain (V1 or V2) (default: "V2") description (str, optional): Description of the domain kms_key_identifier (str, optional): ARN of the KMS key for encryption tags (Dict[str, str], optional): Tags to associate with the domain single_sign_on (Dict[str, str], optional): Single sign-on configuration

Returns: Dict containing: - id: Domain identifier - arn: Domain ARN - name: Domain name - description: Domain description - domain_version: Domain version - status: Domain status - portal_url: Data portal URL - root_domain_unit_id: Root domain unit ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tagsNo
descriptionNo
service_roleYes
domain_versionNoV2
single_sign_onNo
kms_key_identifierNo
domain_execution_roleYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only lists parameters and returns but does not mention side effects, permissions, idempotency, or asynchronous behavior. For a creation tool, this is insufficient.

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 well-structured using Args/Returns format and is not overly verbose. It clearly lists all parameters and return fields, though it could be slightly more concise.

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?

With 8 parameters and no annotations, the description provides basic usage information and return fields. However, it lacks context about prerequisites, errors, or the creation process, which would be needed for a complete understanding.

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%, but the description adds meaningful explanations for each parameter, such as 'name (str): The name of the domain' and 'domain_execution_role (str): The ARN of the domain execution role'. This compensates for the lack of schema descriptions, though some parameters like 'single_sign_on' are only briefly defined.

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 Amazon DataZone domain' with a specific verb and resource. No sibling tool duplicates this action, so it is easily distinguishable.

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?

No guidance on when to use this tool versus alternatives or prerequisites. The description lacks any context about when to create a domain versus other operations.

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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