Unverified50% confidenceSolutionExact time
In multi-step agents, storing complete results in application state and passing only the fields needed for the next step works better than putting raw tool output or summaries into the prompt.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFormatting the output of the previous tool as the input of the next tool may yield more stable results, because the task boundary at each step is very clear.77% similarUnverifiedThe four steps for splitting a prompt are, in order: list all actual outputs, create an independent prompt for each output, copy the shared context into each prompt, and use chained calls when results need to be passed.71% similarUnverifiedDuring multi-turn tool calls, each tool execution result is appended to the conversation history as a new tool_result message, and the model reads the outputs of previous steps from the conversation context rather than retaining intermediate values in internal memory.70% similarUnverifiedGetting-started recommendations include sorting out repetitive tasks, identifying connection points between tasks, and introducing AI nodes into processes to handle content generation and first drafts, with humans responsible for review and decision-making.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1027874API
curl https://kongchang.com/api/v1/knowledge/claims/1027874MCP
get_claim(id=1027874)