Unverified50% confidenceFactExact time
As the number of agent execution steps increases, a large accumulation of tool-call records and intermediate outputs in the context causes the density of useful information to decline and affects model decision-making; this is referred to as context window pollution.
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Long-term
Relevance
10/4/2026
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Related Claims
UnverifiedReasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.77% similarUnverifiedThe larger the context window, the more likely model performance is to degrade—the more information fed to the model, the worse it may perform.76% similarUnverifiedThe higher the information density generated by tools, the higher the attention filtering cost for engineers, ultimately leading to alert fatigue.73% similarUnverifiedFor agents that make continuous autonomous decisions in multi-step tasks, erroneous behaviors have more opportunities to accumulate and amplify than in single-pass text generation, and the window for error correction is narrower.73% similarUnverifiedResearch shows that the higher the approval frequency and the greater the information load per decision, the heavier the cognitive burden and the higher the error rate.72% similar
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