Repeatability
High
Parsing and validation logic follows well-established patterns in Go — error wrapping, struct tags, io.Reader interfaces. The task structure is consistent and doesn't require novel judgment each time.
Ambiguity Tolerance
Medium
The 15+ edge cases are named explicitly, which is helpful, but the actual schema rules, required fields, and error message format are unspecified. An agent must infer or assume these, which could produce a technically passing but wrong implementation.
Data & Tool Availability
Medium
The agent needs access to the existing codebase, current parsing logic, and ideally sample malformed files to test against. Without the existing service context, the agent writes plausible but potentially incompatible code.
Error Cost
Low
This is new code being added to a service, not a live system change. Output is reviewable before deployment, and unit tests provide a built-in correctness signal. Mistakes are caught before they reach production.
Human Judgment Required
Low
Schema validation and error handling are engineering decisions with defensible right answers. No taste, ethics, or relationship context is needed — a senior Go engineer reviewing the output is sufficient oversight.