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    AI assistants may answer fewer questions when unused tools are available

    DAIR.AI says a paper found that answer rates on questions needing no tools fell from 98.2% to 63.5% across six models when a related tool was merely available.

    DA
    1 Source, 15d ago, first seen 15d ago

    TLDR

    According to DAIR.AI’s summary of the paper, a related tool’s availability reduced answer rates even when the tool went unused. The benchmark covered 500 query pairs across 10 domains, each with a tool-unavailable control.

    The summary says a preceding tool call recovered some lost answers but caused new losses. A one-sentence system instruction explaining the tool’s purpose recovered up to 45.6 points.

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    1 Source, first seen 15d ago

    Combined views

    5.1K

    1 Source, first seen 15d ago

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    10 comments
    33 saves
    5 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    1 Source

    @dair_aiGiving an assistant extra tools seems harmless. Surprisingly, this paper shows it can make the assistant stop answering questions it knows. Across six models, the answer rate on questions that need no tool fell from 98.2% to 63.5% when a related tool was merely available. So the drop comes from the tool being present, even when it goes unused. The benchmark has 500 query pairs across 10 domains, each with a tool-unavailable control. A preceding tool call recovered some lost answers and caused new losses. A one-sentence system instruction that tells the model what the tool is for recovered up to 45.6 points. Paper: https://academy.dair.ai/papers/when-tools-get-in-the-way-the-effect-of-unnecessary-tool-availability-on-llm-ans-2609.14157

    1 Source

    @dair_aiGiving an assistant extra tools seems harmless. Surprisingly, this paper shows it can make the assistant stop answering questions it knows. Across six models, the answer rate on questions that need no tool fell from 98.2% to 63.5% when a related tool was merely available. So the drop comes from the tool being present, even when it goes unused. The benchmark has 500 query pairs across 10 domains, each with a tool-unavailable control. A preceding tool call recovered some lost answers and caused new losses. A one-sentence system instruction that tells the model what the tool is for recovered up to 45.6 points. Paper: https://academy.dair.ai/papers/when-tools-get-in-the-way-the-effect-of-unnecessary-tool-availability-on-llm-ans-2609.14157