docstring-format-enforcer

To enforce a consistent Python docstring format, apply a canonical template that validates exact section order, parameter coverage against signatures, and return types for all public functions. This ensures machine-readable documentation remains aligned with your actual function signatures.

The standard Python docstring section order for APIs and services is Intro, Examples, Args, Returns, and Notes. Enforcing this exact sequence ensures machine-readable, spec-aligned documentation across facades, mixins, and contracts.

Validating Python docstring parameters against function signatures requires checking that every argument in the signature has a corresponding entry in the Args section. This parameter coverage validation prevents miscommunication and simplifies library onboarding.

Yes, you can automatically generate runnable Python docstring examples by applying a canonical template to functions and methods. This rewrites existing documentation to include executable examples while validating parameter coverage and return types.

Docstring-format-enforcer works for API stability and code review automation by applying machine-readable, spec-aligned docstring templates across services and contracts. It validates signature coverage and notes deprecation behavior to maintain documentation consistency.

Limitations of enforcing canonical Python docstring templates include strict adherence to a fixed section order of Intro, Examples, Args, Returns, and Notes, which may require rewriting existing custom documentation formats to achieve spec-aligned consistency.