While registering a scheduler plugin get TypeError: PooledRPCCall.__getattr__.<locals>.send_recv_from_rpc() takes 0 positional arguments but 1 was given

**Describe the issue**:

When registering a Dask scheduler plugin via `Scheduler.add_plugin`, we get the following error:

`TypeError: PooledRPCCall.__getattr__..send_recv_from_rpc() takes 0 positional arguments but 1 was given`

The offending code is in distributed's `core.py`:

```python
def __getattr__(self, key):
async def send_recv_from_rpc(**kwargs): # THIS IS WHERE THE ERROR IS RAISED
if self.serializers is not None and kwargs.get("serializers") is None:
kwargs["serializers"] = self.serializers
if self.deserializers is not None and kwargs.get("deserializers") is None:
kwargs["deserializers"] = self.deserializers
comm = await self.pool.connect(self.addr)
prev_name, comm.name = comm.name, "ConnectionPool." + key
try:
return await send_recv(comm=comm, op=key, **kwargs)
finally:
self.pool.reuse(self.addr, comm)
comm.name = prev_name
```

**Minimal Complete Verifiable Example**:

Taken from [your own example of a scheduler plugin](https://distributed.dask.org/en/latest/plugins.html#scheduler-plugins), which DOES NOT WORK NOW.

```python
from distributed import Client, LocalCluster, SchedulerPlugin

class MySchedulerPlugin(SchedulerPlugin):
def __init__(self):
self.counter = 0

def transition(self, key, start, finish, *args, **kwargs):
if start == 'processing' and finish == 'memory':
self.counter += 1

def restart(self, scheduler):
self.counter = 0

if __name__ == '__main__':
with Client() as client:
print(f'scheduler={client.scheduler}')
my_scheduler_plugin = MySchedulerPlugin()
client.scheduler.add_plugin(my_scheduler_plugin)
print('Done')
```

This produces the following;

```
scheduler=
Traceback (most recent call last):
File "/Users/may/Projects/scratch/dask_scheduler/scheduler.py", line 22, in
client.scheduler.add_plugin(my_scheduler_plugin)
TypeError: PooledRPCCall.__getattr__..send_recv_from_rpc() takes 0 positional arguments but 1 was given
```

**Anything else we need to know?**:
N/A

**Environment**:
- Dask version:

```
dask 2024.10.0
distributed 2024.10.0
```
And the same behavior observed for `2024.11.2`

- Python version: 3.10.15 and 3.11.7
- Operating System:
- `Darwin mac135909 24.2.0 Darwin Kernel Version 24.2.0: Fri Dec 6 18:56:34 PST 2024; root:xnu-11215.61.5~2/RELEASE_ARM64_T6020 arm64`
- `Linux login05 5.14.21-150500.55.49_13.0.57-cray_shasta_c #1 SMP Sun May 12 13:35:37 UTC 2024 (33add2b) x86_64 x86_64 x86_64 GNU/Linux`
- Install method (conda, pip, source):
- conda and pip