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lerobot_build_dataset_latest_format_convert

Convert LeRobot datasets from v2.1 to v3.0 parquet format. Specify repository and optional parameters to generate the conversion command.

Instructions

Preview LeRobot's official v2.1 -> current v3.0 parquet dataset conversion command.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_idYes
rootNo
branchNo
data_file_size_in_mbNo
video_file_size_in_mbNo
push_to_hubNo
force_conversionNo
use_uvNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description carries full burden. It states 'preview', implying no side effects, but doesn't explicitly confirm read-only or state that no conversion occurs. It does not describe output format or any behavioral traits like rate limits or authentication needs. The clarity that it's a preview is decent, but lacks depth for full transparency.

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 extremely concise (one sentence). It front-loads the purpose effectively, but is so brief that it sacrifices clarity. While no words are wasted, it could include essential usage context without becoming verbose. It earns its place for purpose but falls short on completeness.

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 the tool's complexity (8 parameters, output schema present), the description is insufficient. It does not mention what the preview output looks like, how the parameters affect it, or any prerequisites. The sibling tools add context, but the description itself fails to provide a complete picture.

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?

Schema coverage is 0%, and the description adds no parameter information. The 8 parameters (including 'repo_id', 'root', etc.) are completely unexplained. The agent cannot infer what each parameter does beyond its name. The description fails to add any meaning beyond the 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 clearly states the tool's purpose: to preview a conversion command for LeRobot datasets from v2.1 to v3.0. The verb 'preview' and the specific resource 'conversion command' make the action unambiguous. It distinguishes from the sibling tool 'lerobot_convert_dataset_to_latest_format', which likely executes the conversion.

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 provides no guidance on when to use this tool versus alternatives. It does not mention that this is meant for previewing before actual conversion, nor does it reference sibling tools like 'lerobot_convert_dataset_to_latest_format' for execution. An agent would lack context on when previewing is appropriate.

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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