api-field-descriptions

API field descriptions should follow standardized patterns for each type (UUID, string, enum, boolean, integer, timestamptz, jsonb, array), clearly mark required/optional status, include default values, and note nullable or read-only behavior. This ensures developers understand request/response schemas consistently across your API documentation.

Use dot-path notation to document nested objects in Markdown tables, maintaining consistent field type patterns and constraint markers. This approach scales documentation for complex data models while keeping field relationships and hierarchy clear.

Mark deprecated and read-only fields explicitly in your field descriptions using standardized markers alongside type patterns and constraints. This prevents integration errors and signals deprecation timelines to developers consuming your API.

Yes, standardized field description patterns apply to both request schemas and response models across REST and GraphQL APIs. A single consistent approach reduces ambiguity for developers and improves data quality across integrations.

Precise field descriptions eliminate ambiguity about data types, constraints, nullability, and required status. When developers understand exact field behavior upfront, they build integrations correctly and reduce runtime errors and data validation failures.

Document both optional flags and default values in your field descriptions using standardized patterns. This clarity prevents developers from mishandling missing fields and ensures predictable API behavior across consumer implementations.