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dataset_create

Create a new ZFS dataset on a TrueNAS pool. Provide the dataset name and optional pool and target.

Instructions

[WRITE] Create a ZFS dataset. Non-destructive (creates new storage).

No undo descriptor — dataset deletion is intentionally out of scope.

Args: name: Full dataset path including the pool, e.g. 'tank/projects'. pool: Optional pool name for context/labelling. target: TrueNAS target name from config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
poolNo
targetNo
Behavior4/5

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

The description clearly states it is 'Non-destructive (creates new storage)' and highlights that deletion is out of scope. Since no annotations are provided, the description carries full burden, and it adequately covers behavioral traits for a create operation. However, it doesn't mention permissions or error handling.

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?

The description is concise, uses markdown for args, and front-loads the core purpose. Every sentence adds value, and there is no superfluous text.

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?

The description omits crucial information like return value (success, created dataset) and error conditions (e.g., duplicate name, invalid path). For a simple create tool, this gap reduces completeness. The absence of an output schema increases the need for such detail.

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?

With schema description coverage at 0%, the description fully compensates by providing meaningful explanations for all 3 parameters: name (full path with example), pool (context/labelling), and target (TrueNAS config reference). This adds value beyond the raw 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 explicitly states 'Create a ZFS dataset' with a [WRITE] tag, making the action clear. It distinguishes from sibling tools like dataset_get and dataset_list which are read-only. The verb 'create' is specific to a new resource.

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 lacks guidance on when to use this tool vs alternatives. It mentions 'No undo descriptor' but does not provide explicit context for when to choose dataset_create over sibling tools like snapshot_create or when not to use it. Missing prerequisite or exclusion details.

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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