fix(tools): coerce integral floats inside list[int] tool parameters too

[nileshpatil6]

Link to Issue or Description of Change

2. Or, if no issue exists, describe the change:

Problem:

Some session stores persist call args as a proto Struct, whose only number type is double, so an int comes back as a float on replay. #6885 fixed that for scalar int parameters in FunctionTool._preprocess_args.

The same round trip converts list elements too, and those are still passed through untouched. A tool declared as:

async def get_components(component_ids: list[int]): ...

receives [1396683.0, 7.0] instead of [1396683, 7] after a session replay. Anything downstream that indexes, formats, or sends those ids to a typed API then sees floats, so the failure surfaces far from its cause.

Solution:

Apply the same coercion to list[int] parameters, element by element, right after the scalar int branch it mirrors. Non integral floats are left alone with the same warning the scalar path emits, so no value is silently rounded. Optional[list[int]] is covered because the existing Union handling unwraps the annotation before this point.

Other element types are untouched: only list[int] is coerced, and a list[float] or list[str] parameter passes through unchanged.

Testing Plan

Unit Tests:

• I have added or updated unit tests for my change.
• All unit tests pass locally.

Five tests added to tests/unittests/tools/test_function_tool.py: coercion for list[int] and Optional[list[int]], plus negative guards asserting list[float], list[str] and non integral values are not altered.

The two coercion tests fail on main and pass with this change.

tests/unittests/tools/test_function_tool.py ... 43 passed
tests/unittests/tools/test_authenticated_function_tool.py,
tests/unittests/tools/test_agent_tool.py,
tests/unittests/tools/test_build_function_declaration.py ... 132 passed

Manual End-to-End (E2E) Tests:

Not required. The defect is entirely in argument preprocessing and is reproduced directly by the unit tests: passing {"component_ids": [1396683.0, 7.0]} to a tool typed list[int] and asserting the callable receives Python ints.