Function-Calling

Tool-DC: Strategic Anchor Grouping — Web Search Example This is a concrete example illustrating how the Strategic Anchor Grouping mechanism works in the Tool-DC framework. See also: notes/ml/tool-dc-framework.md. Setup Query: “search the web for recent AI news” Tool library: 20 tools total Retriever returns top 3: T_top = [Google Search, Bing Search, DuckDuckGo Search] T_tail = 17 remaining tools (Calculator, Weather API, Wikipedia, Code Executor, etc.) With K=3, Tool-DC creates 4 groups: ...

Tool-DC Framework: Try, Check and Retry for Long-context Tool-Calling Source: arXiv:2603.11495 — Accepted at ACL 2026 Authors: Kunfeng Chen, Qihuang Zhong, Juhua Liu, Bo Du (Wuhan University), Dacheng Tao (NTU) The Core Problem When you give an LLM access to a large library of tools — say 20, 50, or hundreds of APIs — performance degrades sharply. The paper shows that even going from fewer than 10 tools to 20 causes significant accuracy drops across all tested models, especially smaller ones. Two things go wrong: the sheer length of the context buries the signal, and semantically similar tools with slightly different argument schemas confuse the model when it’s trying to fill in the right parameters. ...