Unverified50% confidenceFactExact time
Model providers are internalizing tool-use capabilities into training, but if a model is given a large list of tools with only brief descriptions for each, it easily produces many erroneous tool calls, and these erroneous calls accumulate in the context and contaminate subsequent decisions.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTool calling is a separate skill trained separately from writing code, and below a certain parameter threshold models struggle to emit valid tool calls reliably.79% similarUnverified对抗图案通常针对特定模型、特定版本训练,更换检测算法或升级模型权重后可能完全失效77% similarUnverified训练秘诀(Training Recipe)包括数据配比策略、学习率调度曲线、过滤规则、对齐技术等,往往比模型架构本身更难被复现76% similarUnverified不同模型系列的工具调用输出格式差异根源于指令微调阶段使用的训练数据差异75% similarUnverifiedFoundation models for agent tasks differ markedly in training objectives from models for general conversation; the former place more emphasis on tool calling, multi-step planning, error recovery and the ability to use environmental feedback, and their training data often contains a large number of stateful interaction trajectories.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1060759API
curl https://kongchang.com/api/v1/knowledge/claims/1060759MCP
get_claim(id=1060759)