cannot get response from await session.call_tool()

hello, I'm sorry to bother you. I've recently encountered a blocking issue with the MCP client.
I've set up an MCP server, and it runs in Claude successfully. However, when I use the client I set up, the call to the tool result = await session.call_tool() gets stuck and doesn't return a response. But when I use tools = await session.list_tools(), I can retrieve the list of tools.

Through logging within the client file, I'm able to confirm that the tool call has been initiated and executed successfully, and the result is obtained, but the client side can't receive the result. It seems there's an issue with the transmission layer of the protocol. I've been struggling with this for two days and have looked for solutions without success, even after upgrading the system version.

I removed the other logic and only kept the tool invocation. The code is as follows.

Looking forward to your reply.

from mcp import ClientSession, StdioServerParameters, types
from mcp.client.stdio import stdio_client


server_params = StdioServerParameters(  # Create server parameters for stdio connection
    command="uvx",
    args=[
        "--from",
        "git+ssh://xxxx.xx.xxx",
        "server-name"
    ],
    env=None
)

# Optional: create a sampling callback
async def handle_sampling_message(message: types.CreateMessageRequestParams) -> types.CreateMessageResult:
    return types.CreateMessageResult(
        role="assistant",
        content=types.TextContent(
            type="text",
            text="Hello, world! from model",
        ),
        model="gpt-3.5-turbo",
        stopReason="endTurn",
    )

async def run():
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write, sampling_callback=handle_sampling_message) as session:
            # Initialize the connection
            await session.initialize()
            # List available tools
            tools = await session.list_tools()
            # Call a tool
            result = await session.call_tool("query-api-infos", arguments={"api_info_id": "8768555"})
            print(result)

if __name__ == "__main__":
    import asyncio
    asyncio.run(run())

从 issue 中最小的 run() 复现开始，重点关注 stdio_client、ClientSession 和 call_tool；将成功的 list_tools 路径与挂起的工具调用进行比较，并检查客户端日志。复现停滞现象并确定未收到工具结果的原因；完成标准是 call_tool 返回结果。