Uploaded September 2026 | Updated September 2026, 2 weeks ago
Configure and test a SQL tool in Oracle AI Data Platform to give AI agents controlled access to structured business data through predefined, parameterized queries. Build more reliable agent workflows by validating query results and explore additional training and technical details in the resources linked below.
In this tutorial, see how to configure and test a SQL tool for an AI agent in Oracle AI Data Platform. The SQL tool provides controlled access to structured business data through predefined, parameterized queries, helping an agent retrieve the records it needs as part of a workflow. The tutorial covers selecting a query dialect based on the data source, including Oracle SQL for an external database accessed through an external catalog and Spark SQL for a standard catalog. It also shows how to select the appropriate catalog and schema, add a tool description and SQL query, review query parameters, add parameter descriptions, confirm data types, and limit the number of returned rows. Testing the SQL tool with known data helps confirm that the query returns the expected records before the tool is incorporated into an agent workflow. These steps help data and AI professionals configure reliable access to relevant structured business data for AI agent workflows. Additional Oracle AI Data Platform training, videos, and technical resources are available in the resources linked below.
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6004B1ADw2
Explore detailed written information on Agent Tools: https://social.ora.cl/6007B1ADbZ
Like what you learned about Oracle Fusion AI Data Platform? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact Oracle AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
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Configure and test a SQL tool in Oracle AI Data Platform to give AI agents controlled access to structured business data through predefined, parameterized queries. Build more reliable agent workflows by validating query results and explore additional training and technical details in the resources linked below.
In this tutorial, see how to configure and test a SQL tool for an AI agent in Oracle AI Data Platform. The SQL tool provides controlled access to structured business data through predefined, parameterized queries, helping an agent retrieve the records it needs as part of a workflow. The tutorial covers selecting a query dialect based on the data source, including Oracle SQL for an external database accessed through an external catalog and Spark SQL for a standard catalog. It also shows how to select the appropriate catalog and schema, add a tool description and SQL query, review query parameters, add parameter descriptions, confirm data types, and limit the number of returned rows. Testing the SQL tool with known data helps confirm that the query returns the expected records before the tool is incorporated into an agent workflow. These steps help data and AI professionals configure reliable access to relevant structured business data for AI agent workflows. Additional Oracle AI Data Platform training, videos, and technical resources are available in the resources linked below.
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6004B1ADw2
Explore detailed written information on Agent Tools: https://social.ora.cl/6007B1ADbZ
Like what you learned about Oracle Fusion AI Data Platform? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact Oracle AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
