def METHOD_NAME(connection_name: Optional[str] = None,
                             resource_group_name: Optional[str] = None,
                             workspace_name: Optional[str] = None,
                             opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetWorkspaceConnectionResult:
    """
    Get the detail of a workspace connection.
    :param str connection_name: Friendly name of the workspace connection
    :param str resource_group_name: Name of the resource group in which workspace is located.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['connectionName'] = connection_name
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    opts = pulumi.InvokeOptions.merge(_utilities.get_invoke_opts_defaults(), opts)
    __ret__ = pulumi.runtime.invoke('azure-native:machinelearningservices/v20210401:getWorkspaceConnection', __args__, opts=opts, typ=GetWorkspaceConnectionResult).value
    return AwaitableGetWorkspaceConnectionResult(
        auth_type=pulumi.get(__ret__, 'auth_type'),
        category=pulumi.get(__ret__, 'category'),
        id=pulumi.get(__ret__, 'id'),
        name=pulumi.get(__ret__, 'name'),
        target=pulumi.get(__ret__, 'target'),
        type=pulumi.get(__ret__, 'type'),
        value=pulumi.get(__ret__, 'value'),
        value_format=pulumi.get(__ret__, 'value_format'))