marin-community/mcp-atlas-easy
MCP-Atlas-Easy An easy, single-tool-call benchmark for pretrained (base) language models, derived from ScaleAI/MCP-Atlas. MCP-Atlas evaluates instruction-tuned agents on multi-step tool orchestration (3–6 calls per task across 36 real MCP servers). MCP-Atlas-Easy strips that down to the simplest possible form of the same skill: one tool spec, one trivially unambiguous request, one correct tool call, then stop. This makes it usable as a completion-style eval for base models with… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/mcp-atlas-easy.
| Author / organization | marin-community |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 14 July 2026 |
| Last updated at source | 14 July 2026 |
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