Verified65% confidenceSolutionExact time
When there are too many tools, large models are prone to selection confusion, and reducing tool interference is necessary for the AI to correctly invoke the target tool.
3
Sources
65%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Cherry Studio+MCP+Ollama本地AI智能体搭建全教程
Related Claims
VerifiedOn specific tasks, purpose-designed agent systems outperform general-purpose large models, which is an important trend in current AI tool development.82% similarVerifiedAI tools eliminate the friction of implementation, making it easier for indie developers to prematurely implement too many systems, causing the cost of course correction to grow exponentially over time.82% similarVerifiedThe way to resolve the ambiguity of creative tasks is to feed the AI enough high-quality examples so that it can evaluate and iteratively improve its output accordingly.79% similarVerifiedWhat AI tools primarily bring is a reduction in the time needed to complete equivalent work, rather than enabling people with no prior foundation to directly take on complex projects.79% similarVerifiedWork that requires deep creativity and fundamental breakthroughs is harder to automate with AI, while standardized, highly repetitive application-layer engineering is more likely to be replaced by AI tools78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/590950API
curl https://kongchang.com/api/v1/knowledge/claims/590950MCP
get_claim(id=590950)