winsorize

name	winsorize
description	对极端值执行缩尾处理并验证影响（outlier 缩尾）
icon	✂️
allowedTools	["get_schema","profile_data","clean_data","query_data"]

缩尾处理

识别目标数值字段和异常分布，说明上下界规则后再缩尾。不得默认覆盖原始数据；比较处理前后的分布、均值和关键指标，并记录边界与受影响行数。

Tool routing

1. Use get_schema to identify the target table and candidate numeric columns.
2. Use profile_data to quantify distribution tails before modification.
3. Use clean_data with the winsorize operation only after the percentile bounds are clear.
4. Use query_data after cleaning to verify clipped values, row counts, and key metric changes.

Implementation reference

• Tool entries: agent/tools/business/data.py::_tool_profile_data, agent/tools/business/data.py::_tool_clean_data
• Profiling implementation: Function/Clean/data_profile.py
• Winsorization implementation: Function/Clean/winsorize.py