渐进式披露对长上下文Agent是否必要？

Agent skills do not make models smarter; they help models avoid wasting context while finding the right text.

i.e. agent skills are not a universal replacement for search or stronger reasoning.

They matter most when the knowledge base becomes too large for an agent to browse efficiently, and the simplest 1-level layout worked best overall.

When an agent can search 1 book well, progressive disclosure adds little, but it helps across large libraries.

A single routing layer preserves context better than deeper skill hierarchies across large document libraries.

The team compared raw navigation, flat and deeper skill layouts, and a standard retriever across several agent setups.

On 1 book, strong agents already searched well, so the flat skill brought almost no accuracy gain.

With 20 books, English open-question accuracy rose from 0.257 under raw navigation to 0.462 with the flat skill.

Strong agents gain little from prepared skill indexes until the corpus becomes too large to navigate.

– arxiv. org/abs/2607.17598

Title: "Is Progressive Disclosure All You Need for Long-Context Agents?"