diff --git a/metagpt/tools/functions/__init__.py b/metagpt/tools/functions/__init__.py
new file mode 100644
index 000000000..069e4297b
--- /dev/null
+++ b/metagpt/tools/functions/__init__.py
@@ -0,0 +1,8 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Time    : 2023/11/16 16:32
+# @Author  : lidanyang
+# @File    : __init__.py
+# @Desc    :
+from metagpt.tools.functions.register.register import registry
+import metagpt.tools.functions.libs.machine_learning
diff --git a/metagpt/tools/functions/libs/__init__.py b/metagpt/tools/functions/libs/__init__.py
new file mode 100644
index 000000000..a0a43f507
--- /dev/null
+++ b/metagpt/tools/functions/libs/__init__.py
@@ -0,0 +1,6 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Time    : 2023/11/16 16:32
+# @Author  : lidanyang
+# @File    : __init__.py
+# @Desc    :
diff --git a/metagpt/tools/functions/schemas/__init__.py b/metagpt/tools/functions/schemas/__init__.py
new file mode 100644
index 000000000..e50f67d6f
--- /dev/null
+++ b/metagpt/tools/functions/schemas/__init__.py
@@ -0,0 +1,6 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Time    : 2023/11/16 16:33
+# @Author  : lidanyang
+# @File    : __init__.py
+# @Desc    :
diff --git a/metagpt/tools/functions/schemas/base.py b/metagpt/tools/functions/schemas/base.py
new file mode 100644
index 000000000..35b9f77b7
--- /dev/null
+++ b/metagpt/tools/functions/schemas/base.py
@@ -0,0 +1,100 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Time    : 2023/11/16 16:34
+# @Author  : lidanyang
+# @File    : base.py
+# @Desc    : Build base class to generate schema for tool
+from typing import Any, List, Optional, get_type_hints
+
+
+class NoDefault:
+    """
+    A class to represent a missing default value.
+
+    This is used to distinguish between a default value of None and a missing default value.
+    """
+    pass
+
+
+def field(
+    description: str, default: Any = NoDefault(), enum: Optional[List[Any]] = None, **kwargs
+):
+    """
+    Create a field for a tool parameter.
+
+    Args:
+        description (str): A description of the field.
+        default (Any, optional): The default value for the field. Defaults to None.
+        enum (Optional[List[Any]], optional): A list of possible values for the field. Defaults to None.
+        **kwargs: Additional keyword arguments.
+
+    Returns:
+        dict: A dictionary representing the field with provided attributes.
+    """
+    field_info = {
+        "description": description,
+        "default": default,
+        "enum": enum,
+    }
+    field_info.update(kwargs)
+    return field_info
+
+
+class ToolSchema:
+    @staticmethod
+    def format_type(type_hint):
+        """
+        Format a type hint into a string representation.
+
+        Args:
+            type_hint (type): The type hint to format.
+
+        Returns:
+            str: A string representation of the type hint.
+        """
+        if isinstance(type_hint, type):
+            # Handle built-in types separately
+            if type_hint.__module__ == "builtins":
+                return type_hint.__name__
+            else:
+                return f"{type_hint.__module__}.{type_hint.__name__}"
+        elif hasattr(type_hint, "__origin__") and hasattr(type_hint, "__args__"):
+            # Handle generic types (like List[int])
+            origin_type = ToolSchema.format_type(type_hint.__origin__)
+            args_type = ", ".join(
+                [ToolSchema.format_type(t) for t in type_hint.__args__]
+            )
+            return f"{origin_type}[{args_type}]"
+        else:
+            return str(type_hint)
+
+    @classmethod
+    def schema(cls):
+        """
+        Generate a schema dictionary for the class.
+
+        The schema includes the class name, description, and information about
+        each class parameter based on type hints and field definitions.
+
+        Returns:
+            dict: A dictionary representing the schema of the class.
+        """
+        schema = {
+            "name": cls.__name__,
+            "description": cls.__doc__,
+            "parameters": {"type": "object", "properties": {}, "required": []},
+        }
+        type_hints = get_type_hints(cls)
+        for attr, type_hint in type_hints.items():
+            value = getattr(cls, attr, None)
+            if isinstance(value, dict):
+                # Process each attribute that is defined using the field function
+                prop_info = {k: v for k, v in value.items() if v is not None or k == "default"}
+                if isinstance(prop_info["default"], NoDefault):
+                    del prop_info["default"]
+                prop_info["type"] = ToolSchema.format_type(type_hint)
+                schema["parameters"]["properties"][attr] = prop_info
+                # Check for required fields
+                if "default" not in prop_info:
+                    schema["parameters"]["required"].append(attr)
+        return schema