Unverified50% confidenceFactExact time
不同厂商的大模型调用工具的写法各不相同，一旦底层更换大模型，调用工具的代码就得全部重写
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/20/2026
First Seen
Valid until: 11/18/2026
Sources
Related Claims
Unverified工具可分为「补偿智能不足的工具」和「随智能增长的工具」，前者会强迫特定写代码顺序且无法随模型变强受益，后者随模型越强越有用69% similarUnverifiedThe root cause of the performance difference between the two tools lies in design differences at the tool level (code indexing strategy and context management approach), not differences in underlying model capabilities.68% similarUnverifiedTool的语言驱动工具选择机制让工具开发与模型训练解耦，开发者无需重新训练模型只需注册新工具即可扩展Agent能力66% similarUnverified代理式工具的自主执行能力越强，一旦缺乏约束可能对代码库做出开发者未预期的大范围修改，约束框架设计越关键66% similarUnverifiedTorno团队认为通用实现将越来越多地被按需生成的定制实现所取代，工程师的价值从实现转向规范65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/778620API
curl https://kongchang.com/api/v1/knowledge/claims/778620MCP
get_claim(id=778620)