Read Less, Solve More: Token-Efficient Sparse Reading of External Content for AI Agents

Researchers presented SparseRead, a reusable reading interface that lets web-facing AI agents fetch only sparse evidence from webpages, documents, repositories and tool responses instead of entire objects, according to the paper's abstract. The authors state that agents' current over-reading of full content raises token and latency costs and can dilute relevant evidence. The work targets the token-efficiency of agent access to external content.

Web-facing AI agents repeatedly access webpages, documents, repositories, and tool responses, yet reading interfaces often expose entire objects when only sparse evidence is needed. This over-reading increases token and latency costs and can dilute relevant evidence. We present SparseRead, a reusabl