The Scenario
The middleware project kicked off Monday. Before anyone writes a line of integration code, the lead developer needs a complete field dictionary for the Salesforce Case object — every field name, its data type, character length, whether it is required, whether it is updateable, and whether it can serve as an external ID. This becomes the schema reference that every engineer on the team uses when they build their endpoint mapping.
Getting it by hand means navigating Salesforce Setup, finding the Case object, scrolling through the field list, clicking into each field to read its properties, and copying everything into a spreadsheet one field at a time. The Case object has well over a hundred fields.
The bad version:
- Open Salesforce Setup, navigate to Object Manager, find Case, open Fields and Relationships.
- Click the first field, read its properties, copy the values into the sheet, click back.
- Repeat for 120+ fields, losing momentum around field 40 when the page doesn't load and you're not sure if you saved the last row.
- Realize after 90 minutes that you forgot to capture the ExternalId flag, which the architect specifically asked for.
You are a developer. You are supposed to be writing the integration, not populating a data dictionary by hand.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It calls the Salesforce sObject describe endpoint, reads the full field metadata, and writes a complete field dictionary into your sheet — every field, every property, one row per field.
Describe the Salesforce Case sObject and write all field names, data types, lengths, and required flags into this sheet as a field reference dictionary
What You Get
- A call to the Salesforce Case sObject describe endpoint, pulling full field metadata.
- One row per field, with columns for FieldName, DataType, Length, and Required populated from the API response.
- Fields sorted alphabetically so the dictionary is easy to scan.
- Standard fields and custom fields both included — nothing filtered out unless you ask for a subset.
What If the Data Is Not Quite Ready
The architect also needs Updateable and ExternalId columns
The initial prompt produced a 4-column dictionary but the spec requires 6 columns.
Fetch sObject metadata for the Salesforce Case object and populate my sheet with columns: FieldName, DataType, Length, Required, Updateable, ExternalId — one row per field, alphabetical
You need the Account object dictionary too, on a second tab
The integration maps to both Case and Account fields.
Describe the Salesforce Account sObject and write all field names, DataType, Length, Required, Updateable, and ExternalId values into the Account Fields tab of this sheet — one row per field
You want only the fields that are both required and updateable
The developer only needs to know which fields must be present on every write.
Describe the Salesforce Case sObject, filter to only fields where Required is true and Updateable is true, and write FieldName, DataType, and Length into this sheet
Full dictionary with filtering, multi-object coverage, and a summary row
Case and Account fields, filtered to required-and-updateable, with a count row per object.
Describe the Salesforce Case sObject and the Account sObject. For each, filter to fields where Required is true and Updateable is true. Write FieldName, DataType, Length, and the sObject name into this sheet, sort by sObject then by FieldName, and add a count row after each object's block.
One prompt builds the complete schema reference in a format the whole team can use.
Try It
Get the 7-day free trial of SheetXAI and open a blank sheet, then ask SheetXAI to build the field dictionary for whatever Salesforce object you're integrating with. For related reading, see the hub overview or the spoke on chained composite requests that use these field names in practice.