datasets_list
List all datasets in a specified Ultralytics workspace.
Instructions
List datasets in your Ultralytics workspace.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| username | No |
List all datasets in a specified Ultralytics workspace.
List datasets in your Ultralytics workspace.
| Name | Required | Description | Default |
|---|---|---|---|
| username | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's mention of 'List' adds no new safety info. The 'in your Ultralytics workspace' adds minimal context beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no fluff. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, so description should hint at return format or pagination. It doesn't. Given the parameter and sibling tools, more context needed for full understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one optional parameter 'username' with no description (0% coverage). The tool description does not mention this parameter at all, failing to add meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists datasets in the user's Ultralytics workspace, with a specific verb and resource. It distinguishes from sibling tools like datasets_get and datasets_create through the 'list' action and workspace scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives like search or filter capabilities. No mention of prerequisites or when not to use it.
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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