Unverified50% confidenceTradeoffExact time
The 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.
1
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50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
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Related Claims
UnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.74% similarUnverifiedIn agentic architectures, retrieval is often invoked repeatedly in sub-steps such as planning, tool selection, and verification, which significantly amplifies the cumulative latency effect of a single retrieval call.73% similarUnverifiedModifying tool configurations can silently alter the agent's behavior in every subsequent run.73% similarUnverifiedThe high consumption triggered by the combination of Extra High reasoning and multi-tool agent tasks is expected behavior, not a system bug.73% similarUnverifiedEach additional agent role causes the system's total token consumption to grow multiplicatively, because each agent needs to maintain its own system prompt, role definition, and conversation history.72% similar
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