Unverified50% confidenceSolutionExact time
The 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.
1
Sources
50%
Confidence
Long-term
Relevance
8/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe 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.77% similarUnverifiedSkill推荐架构中通过余弦相似度检索最相关Skill候选集，再由LLM进行重排序并决策调用顺序72% similarUnverifiedThe key breakthrough in tool-calling capability lies in the model's ability to generate structured function-call requests and correctly parse tool return results before continuing to reason, rather than simply concatenating tool outputs into the prompt71% similarUnverified一站式策略在To C工具领域的成功案例有限，用户往往倾向于在各环节选择最优单点工具71% similarUnverified对于新手建议从逐步确认模式入手，建立对工具行为的直觉认知后再切换到更自主的模式71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/819034API
curl https://kongchang.com/api/v1/knowledge/claims/819034MCP
get_claim(id=819034)