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Tool Recommendation for Multi-Step Agents: Finding Every Tool a Task Needs

L5 · ResearcherResearcharXiv· 10/16/2026

Addresses core infrastructure challenge for multi-step AI agents requiring access to numerous tools beyond context window limits.

AI Summary

Researchers present Tool Recommendation, a system that provides AI agents access to thousands of tools through a fixed interface while reducing usage by 17-40%.

Excerpt

A multi-step agent task fails when a single tool it needs is missing, yet the tools an agent may need are too many to list: the roughly 8,200 tools on the platform we study have definitions that together exceed the context window of any model we evaluate. We present Tool Recommendation, a deployed system that gives an agent all of them, hundreds of times more than a typical MCP server exposes, through a fixed interface of three tools. It runs at the gateway between agent and tools, executing eve

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