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amanharshx
by amanharshx

datasets_create

Create a dataset in your Ultralytics workspace by specifying its name, task type, and slug.

Instructions

Create a dataset in your Ultralytics workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
slugYes
taskYes
classNamesNo
visibilityNo
descriptionNo
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only states 'Create a dataset' without mentioning side effects, idempotency, authentication needs, or what happens on duplicate names. This is insufficient for an agent to assess operational impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but excessively minimal. It does not front-load critical information beyond the action and resource. While not verbose, it sacrifices essential context for brevity.

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

Completeness1/5

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

Given the tool has 6 parameters (3 required), no output schema, and no annotations, the description is wholly inadequate. It fails to explain the return value, the effect of creation, or any prerequisite conditions. An agent would operate with significant uncertainty.

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

Parameters1/5

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

The input schema has 0% description coverage, and the tool description provides no explanations for any of the 6 parameters (name, slug, task, classNames, visibility, description). The agent receives no help understanding what values are valid or how parameters affect creation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (create) and the resource (dataset), distinguishing it from other tools like datasets_delete or datasets_list. However, it does not elaborate on what constitutes a dataset in this context, which could be improved.

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 usage context is provided. There is no indication of when to use this tool versus alternatives (e.g., projects_create or other create tools), nor any prerequisites or conditions. This leaves the agent without guidance for appropriate invocation.

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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