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awslabs

amazon-datazone-mcp-server

Official
by awslabs

list_domain_units

Retrieve child domain units for a given parent in an Amazon DataZone domain. Use domain and parent identifiers to get the list.

Instructions

Lists child domain units for the specified parent domain unit in an Amazon DataZone domain.

Args: domain_identifier (str): The identifier of the domain (e.g., "dzd_4p9n6sw4qt9xgn") parent_domain_unit_identifier (str): The identifier of the parent domain unit (e.g., "3thjq258ficc2v")

Returns: Any: The API response containing the list of domain units

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domain_identifierYes
parent_domain_unit_identifierYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the basic read operation without disclosing permissions, pagination, or any side effects. The agent gets minimal behavioral insight.

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 concise with a single sentence for functionality, followed by structured Args and Returns. It is well-organized and free of unnecessary content, though the Returns line is vague.

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

Completeness2/5

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

Given no output schema and no annotations, the description leaves out important details like pagination, response format, and prerequisites. The agent may struggle to use the tool effectively without additional context.

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

Parameters3/5

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

With 0% schema coverage, the description adds value by providing example identifiers for both parameters. However, the explanations are essentially rephrasing the parameter names, offering limited additional context beyond the examples.

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 the action 'lists child domain units' and specifies the parent domain unit in Amazon DataZone. It distinguishes from siblings like 'list_domains' which lists domains, and 'get_domain_unit' which retrieves a single unit.

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, such as 'get_domain_unit' for a single unit or 'list_domains' for top-level domains. The description lacks usage context.

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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