Unverified50% confidenceConceptExact time
The combination of tool use and long-context reasoning forms a "think → act → observe" loop.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
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Related Claims
VerifiedThe agent loop follows a 'reasoning-action-observation' paradigm, iterating repeatedly until the goal is achieved or a stopping condition is reached.73% similarVerifiedChain-of-Thought (CoT) prompting improves performance on complex tasks by guiding step-by-step reasoning.72% similarUnverifiedThe traditional approach of stuffing all tool descriptions into the system prompt at once significantly inflates context length as the number of tools increases, consuming VRAM and interfering with the model's attention distribution.72% similarUnverifiedThe ReAct reasoning chain exhibits two types of runaway behavior in actual use: thinking without acting (reasoning stalls at the thinking stage), and acting inconsistently with thinking (thinking calls tool A but actually calling tool B).72% similarUnverifiedAgents read execution results and continue reasoning about the next decision based on the current state, forming an observe-think closed loop, which is the key distinction from scripted automation.72% similar
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