In this article, you will learn why agent accuracy degrades as a tool catalog grows, and six practical techniques for keeping tool selection accurate and efficient at scale.
Topics we will cover include:
Why adding more tools to an agent causes tool hallucination and accuracy loss, not just slower responses.
How gating, retrieval, routing, and planning each narrow down what the model sees before it has to choose a tool.
How to build fallback logic and a benchmark harness so you can measure whether any of these fixes actually worked.
