RESEARCHMonitorWATCHLIST
Tool Recommendation for Multi-Step Agents: Finding Every Tool a Task Needs
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced a Tool Recommendation system enabling multi-step AI agents to dynamically access over 8,200 tools via three fixed interfaces.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 19 October 2026
- Collected by OneBench
- 20 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.23707v1 Announce Type: new Abstract: A multi-step agent task fails when a single tool it needs is missing, yet the tools an agent may need…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.