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lerobot_forge_inspect

Inspect datasets with pinned Forge to prepare for conversion. Check structure, samples, and formatting quickly or thoroughly.

Instructions

Inspect a dataset with pinned Forge, useful before conversion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
formatNo
outputNojson
quickNo
deepNo
samplesNo
backgroundNo
timeout_secondsNo
envNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only says 'inspect', implying a read operation, but does not confirm side-effects, whether the tool modifies the dataset, or what output to expect. This is insufficient for safe agentic decision-making.

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, making it concise. However, it is too brief given the tool's complexity, and the space is not effectively used to convey essential information. It earns its place minimally by stating purpose, but lacks structure and completeness.

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?

The tool has 9 parameters, no annotations, and an output schema (whose details are not in description). The description fails to explain what the tool outputs, how parameters affect behavior, or any usage context beyond a vague 'before conversion'. This is severely incomplete for a tool of this complexity.

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 description coverage is 0%, and the description adds no information about any of the 9 parameters. The agent must infer meaning solely from parameter names (e.g., 'quick', 'deep'), which is inadequate. The description fails to compensate for the lack of schema descriptions.

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 tool 'inspects a dataset' with a specific method ('pinned Forge'), and situates its usage 'before conversion'. This differentiates it from sibling tools like lerobot_forge_convert (conversion) and lerobot_inspect_dataset_metadata (generic metadata inspection). However, it does not elaborate on what 'inspect' entails.

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 phrase 'useful before conversion' hints at a specific use case but provides no explicit guidance on when to use this tool versus alternatives (e.g., lerobot_forge_convert, lerobot_inspect_dataset_metadata). There are no exclusions or prerequisites mentioned.

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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