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TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments research paper by IBM, 2025

IBM · Oct 1, 2025 · Agents and evaluation · 54 citations · 29 upvotes · unverified

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What it shows

Toucan, a large publicly available tool-agentic dataset, enhances the performance of LLM agents by providing diverse, realistic, and complex multi-tool and multi-turn interactions.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Zhangchen Xu, Adriana Meza Soria, Shawn Tan and 4 more
arXiv
2510.01179 · PDF
Venue
arXiv.org
Citations
54, 8 influential · Semantic Scholar
Upvotes
29 · Hugging Face
Code
github.com/TheAgentArk/Toucan
Lab
IBM · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 8Sep 25, 2026
Citationsfirst count: 54Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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