An experiment revealed that AI agents struggle with tool selection when presented with a large number of options. While raw accuracy dropped significantly as the number of tools increased from 5 to 50, a chance-corrected analysis showed the agent became relatively better at distinguishing correct tools from random guesses. However, at larger menu sizes, the agent frequently selected tools with no relevance to the request, with one specific tool, 'find_contact', being incorrectly chosen in a majority of these irrelevant selections. AI
IMPACT This research highlights a critical limitation in current AI agent design, suggesting that simply increasing the number of available tools may degrade performance and lead to unexpected errors.
RANK_REASON The cluster describes an experiment and its findings regarding AI agent tool selection accuracy.
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