Unverified50% confidenceFactExact time
A Tool in LangChain is usually a Python function with a name, description, and parameter schema, and the Agent uses prompts to let the model understand the available tools and their applicable scenarios.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Enterprise Agent Development with LangChain: From Framework Setup to Private Deployment
bilibili码士集团_马小怡10/20/2026
Related Entities
Related Claims
VerifiedThe naming, description, and parameter documentation of a tool are the key context for an Agent to decide when to call it, and can be understood as a form of prompt engineering.78% similarUnverifiedThe wording of tool descriptions and parameter schemas can significantly affect Agent performance, because the model can only rely on these words to judge whether a tool should be used and how to use it.74% similarUnverifiedAny capability that can be encapsulated in a function can become a tool for an Agent, and defining a tool in LangChain only requires adding an annotation to the function.74% similarVerified工具调用（Function Calling/Tool Use）是Agent系统的核心能力，允许模型动态调用搜索引擎、代码解释器、数据库查询、API接口等外部资源74% similar
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