Unverified50% confidenceSolutionExact time
The tool-user pattern has the agent select and invoke external tools such as APIs, databases, search engines, or computational tools according to the goal.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
Understand Agentic AI in 1 Hour: Architecture, Design Patterns, and Hands-On Building
bilibiliAIDeepCoder10/25/2026
Related Entities
Related Claims
VerifiedThe Tool Routing mechanism selects tools by performing similarity matching between the semantic representation of user intent and the embedding vectors of tool descriptions, so the quality of a tool's natural language description directly affects the agent's decision-making accuracy.80% similarUnverifiedAn agent's tool-calling capabilities range from basic tasks such as creating files and connecting to databases, to advanced tasks such as calling external tools like Git.79% similarUnverifiedThe tool routing mechanism first uses embedding vector retrieval or a classifier to pre-judge user intent, narrowing the candidate tool pool to 3–5 options, which are then passed to the LLM for precise selection, similar to the recall-ranking two-stage architecture of a search engine.76% similarUnverifiedThe tool-calling capability of intelligent agents allows language models to determine whether a tool needs to be called, generate call parameters conforming to the API specification, and continue reasoning based on the execution results.76% similarUnverifiedTraditional Tool Calling relies on structured API interfaces and requires developers to pre-define the input and output format of each tool.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1110345API
curl https://kongchang.com/api/v1/knowledge/claims/1110345MCP
get_claim(id=1110345)