Implement a custom script to scan through all BigQuery table descriptions and match keywords related to your model's requirements. This script would run periodically to update a central registry of tables.

Query BigQuery's INFORMATION_SCHEMA metadata tables to list all table names and descriptions in your project, then manually sift through the results to identify the needed table.

Develop a lookup table within BigQuery that maps table descriptions to table IDs. This lookup table would be queried each time you need to find data, requiring manual updates as new tables are added.

Utilize Google Cloud Data Catalog to search through BigQuery datasets by keywords found in the table descriptions, taking advantage of its search capabilities and integration with BigQuery.

Combine the use of Data Catalog for initial discovery and maintain a supplementary lookup table in BigQuery for frequently accessed tables to speed up future searches.