ToolSense audits whether LLM agents really understand their tools

A new arXiv paper introduces ToolSense, a diagnostic framework for auditing how LLM agents understand large tool catalogs.

The work targets a real deployment bottleneck: agents may retrieve a valid tool while still misunderstanding when or why to use it. ToolSense stresses parametric tool retrieval with underspecified and semantically demanding queries.

For teams building tool-using agents, the message is clear: tool retrieval accuracy is not enough. The system needs diagnostics that expose semantic confusion before it becomes execution failure.