convert_function_to_tool exposes *args and **kwargs as required string parameters

Actual behavior

def f(x: int, *args, **kwargs):
    """Do a thing.
    Args:
        x: the number
    """

convert_function_to_tool(f).model_dump()['function']['parameters']
# {'type': 'object', ..., 'required': ['x', 'args', 'kwargs'],
#  'properties': {'x': {'type': 'integer', ...},
#                 'args': {'type': 'string', ...},
#                 'kwargs': {'type': 'string', ...}}}

The generated schema tells the model it must provide args and kwargs string arguments, which is meaningless and can confuse tool calling.

Expected behavior

*args/**kwargs (VAR_POSITIONAL / VAR_KEYWORD) parameters are skipped since they cannot be expressed in the tool JSON schema; only named parameters appear in properties/required.

Environment

• ollama-python: main @ fa8509936be08809bd15ca90a371165eb9abeb50
• pydantic 2.10.6, Python 3.11

Start at the convert_function_to_tool entry point and inspect how VAR_POSITIONAL and VAR_KEYWORD parameters are turned into the generated schema. Reproduce the issue with the function shown, then verify that only named parameters appear in properties and required, while args and kwargs are omitted.