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The Meta-Agent Cut 1,283 Browser Tools Down to 33

AutoTailor’s final tool set reached 90.6% correctness with fallback while cutting request tokens 57.8% and latency 29.4%.

Published Updated Story ID: mp-2026-09-15-011
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Summary

AutoTailor’s final tool set reached 90.6% correctness with fallback while cutting request tokens 57.8% and latency 29.4%.

Tool-discovery systems can leave web agents with hundreds of redundant, badly sized APIs. AutoTailor converts successful trajectories into parameterized browser programs, filters them for granularity and likely use, then watches outcomes to add missing capabilities and prune unused ones. On 106 WebArena Postmill tasks, offline filtering reduced 1,283 candidate APIs to 87 and dynamic reselection produced 33. With ReAct fallback, the final set achieved 90.6% correctness versus 87.5% for ReAct alone while reducing request-token cost 57.8% and latency 29.4%.

Why it matters

AutoTailor’s final tool set reached 90.6% correctness with fallback while cutting request tokens 57.8% and latency 29.4%.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. AutoTailor’s final tool set reached 90.6% correctness with fallback while cutting request tokens 57.8% and latency 29.4%.

    Evidence: source-2026-09-15-011

Sources

  1. arXiv preprint 2609.13548arXiv · primary research

Corrections

No corrections have been recorded for this story.