New index

I've been looking at the following query:
SELECT
CONVERT (varchar, @runtime, 126) AS Runtime
, CONVERT (decimal (28,1), migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans)) AS improvement_measure
, mid.statement as 'Database.Schema.Table'
, migs.Avg_Total_User_Cost
, migs.Avg_User_Impact
, migs.User_Seeks
, migs.User_Scans
, migs.Avg_Total_User_Cost, mid.Database_ID
, mid.[Object_ID]
, 'CREATE INDEX ix_mi_' + OBJECT_NAME(mid.OBJECT_ID, mid.database_id) + '_' + CONVERT (varchar, mig.index_group_handle) + '_' + CONVERT (varchar, mid.index_handle) + ' ON ' + mid.statement + ' (' + ISNULL (mid.equality_columns,'') + CASE WHEN mid.equality_columns IS NOT NULL AND mid.inequality_columns IS NOT NULL THEN ',' ELSE '' END + ISNULL (mid.inequality_columns, '') + ')' + ISNULL (' INCLUDE (' + mid.included_columns + ')', '') AS create_index_statement
FROM
sys.dm_db_missing_index_groups AS mig INNER JOIN
sys.dm_db_missing_index_group_stats AS migs ON migs.group_handle = mig.index_group_handle INNER JOIN
sys.dm_db_missing_index_details AS mid ON mig.index_handle = mid.index_handle
WHERE
CONVERT (decimal (28,1), migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans)) > 10
-- AND mid.statement LIKE '%profileOptions_%'
ORDER BY migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans) DESC--, mid.statement ASC
The top suggestion looks something similiar to this:
CREATE INDEX ix_mi_tableName_123_122 ON [dbName].[dbo].[tableName] (isShop]) INCLUDE ([id])
Since I know that the column called isShop is a bit field would there be any benefit from creating this index (the id field is a clustered PK datatype int) I'm not all that familiar yet with the INCLUDE option when creating indexes but I do know that the data in the bit field is not unique enough to warrant an index.
Thanks

I'll look into seeing if it can become part of a covering index, that sounds like the better plan.
Best Regards