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Geppetto Robot Directory

Get Dataset Details

get_dataset
Read-onlyIdempotent

Get the full record for a specific robot training dataset by slug: specs, license, access type, collection method, citation, and source links.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_dataset"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesDataset slug e.g. droid, open-x-embodiment, ego4d, aloha-bimanual

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds that the returned record is 'full' and what categories it includes, which is useful context, but says nothing about behavior on an unknown slug or any access restrictions tied to 'access type'.

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?

A single front-loaded sentence with the resource, the identifier, and the payload all stated up front. No filler, no repetition of the title or annotations.

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

Completeness4/5

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

There is no output schema, so the description carries the burden of telling the agent what comes back, and the enumerated field list does that well for a one-parameter read tool. The only remaining gap is error behavior for a bad slug, which is minor at this complexity.

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

Parameters3/5

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

Schema description coverage is 100% and the slug property already carries concrete examples (droid, open-x-embodiment, ego4d, aloha-bimanual). The description only restates that the lookup key is a slug, adding no format or matching semantics beyond the schema, so the baseline of 3 applies.

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 names a specific verb and resource ('Get the full record for a specific robot training dataset') and enumerates the content returned (specs, license, access type, collection method, citation, source links). It distinguishes itself from search_datasets only implicitly, through 'specific' and 'by slug', rather than naming the sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The lookup-by-slug usage is implied by 'by slug', but there is no explicit statement of when to reach for this tool versus search_datasets (which presumably returns identifiers first). No exclusions or preconditions are given, so the routing decision is left to inference.

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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