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Research2026-05-05

To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling

Source: Arxiv CS.AI

arXiv:2605.00737v1 Announce Type: new Abstract: Agentic AI architectures augment LLMs with external tools, unlocking strong capabilities. However, tool use is not always beneficial; some calls may be redundant or even harmful. Effective tool use, therefore, hinges on a core LLM decision: whether to...

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