Unverified50% confidenceFactExact time
DecisionAct v0.1.2 supports chained execution, where the return value of a previous tool can serve as an input parameter for the next tool, for example first computing 4 plus 5 and then multiplying the result by 2.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/26/2026
First Seen
Valid until: 1/24/2027
Sources
Related Entities
Related Claims
UnverifiedTool Calling allows an LLM to decide, during response generation, to invoke predefined external functions or APIs and incorporate the results into subsequent reasoning.69% similarVerifiedAfter the client receives the tool execution result, it needs to construct a message with the role set to tool, carrying the corresponding tool_call_id and execution result to send back to the model.69% similarUnverifiedAfter receiving a request, the model may return a structured tool call rather than directly providing an answer.67% similarUnverifiedOpenAI自GPT-4起引入了结构化的Function Calling机制，允许模型在对话中动态决定何时调用哪个工具、传入什么参数，并将结果整合回答复中66% similarUnverifiedIn 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.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1098857API
curl https://kongchang.com/api/v1/knowledge/claims/1098857MCP
get_claim(id=1098857)