agentsop-signature-design

Convert a prose prompt into a typed DSPy Signature when outputs are parsed by code, the prompt is reused across call sites, or it grows beyond a short one-shot template. This formalization prevents brittle parsing and intent drift during optimization.

Shape DSPy Signatures by extracting inputs and outputs, naming fields semantically, and adding descriptions only when the name is ambiguous. This selective desc usage keeps the contract clean for reliable optimization and downstream code consumption.

Design DSPy Signatures for safer optimization by using closed-set or boolean output typing. Avoid over-signaturizing one-shot throwaway prompts, and only formalize stable templates to ensure reliable optimization readiness without unnecessary rigidity.

No, you do not need descriptions for every field in a typed Signature. Add descriptions selectively only when the semantic field name is ambiguous, keeping the prompt formalization clean and reducing unnecessary overhead for DSPy.

You should avoid over-signaturizing one-shot throwaway prompts. Typed Signatures are intended for coder-agent workflows where prompts are stable and load-bearing, so applying them to transient templates adds unnecessary rigidity and implementation overhead.