**Problem**
For *non-existent* Kinesis streams:
* the command `awslocal kinesis describe-stream` returns a ResourceNotFoundException (as expected) 
* whereas `describe-stream-summary` returns stream details (as if it existed).

**Expected behaviour**
It's expected that both commands return a ResourceNotFoundException for non-existent streams. It has been verified that this is the case with AWS CLI with real AWS.

**Reproduction**
```
✗ docker run -d -e SERVICES=s3,iam,kinesis localstack/localstack:0.10.2
513dcffc9a7e8f7b4c12b20972119c5fd797f269ae4cbfe62d8bc9f66a6116eb

✗ docker container ls | head -n2
CONTAINER ID        IMAGE                          COMMAND                  CREATED             STATUS              PORTS                     NAMES
513dcffc9a7e        localstack/localstack:0.10.2   "docker-entrypoint.sh"   44 seconds ago      Up 42 seconds       4567-4597/tcp, 8080/tcp   nostalgic_mcclintock

✗ docker exec -it nostalgic_mcclintock sh
/opt/code/localstack # awslocal kinesis describe-stream --stream-name idontexist
An error occurred (ResourceNotFoundException) when calling the DescribeStream operation: Stream idontexist under account 000000000000 not found.

/opt/code/localstack # awslocal kinesis describe-stream-summary --stream-name idontexist
{
    "StreamDescriptionSummary": {
        "StreamName": "idontexist",
        "StreamARN": "idontexist",
        (...)
        "OpenShardCount": 0,
        "ConsumerCount": 0
    }
}
/opt/code/localstack # awslocal kinesis list-streams
{
    "StreamNames": []
}
/opt/code/localstack # 
```
event_records = [event_record]
            stream_name = data['StreamName']
            lambda_api.process_kinesis_records(event_records, stream_name)
        elif action == ACTION_PUT_RECORDS:
            event_records = []
            response_body = json.loads(to_str(response.content))
            if 'Records' in response_body:
                response_records = response_body['Records']
                records = data['Records']
                for index in range(0, len(records)):
                    record = records[index]
                    event_record = {
                        'data': record['Data'],
                        'partitionKey': record['PartitionKey'],
                        'sequenceNumber': response_records[index].get('SequenceNumber')
                    }
                    event_records.append(event_record)
                stream_name = data['StreamName']
                lambda_api.process_kinesis_records(event_records, stream_name)
        elif action == ACTION_UPDATE_SHARD_COUNT:
            
            
            
            #
            
            
            #
            
            
            #