R0020/2026-03-25/Q003/S01
WebSearch — Imperative constraints and MUST/MUST NOT directives in prompt engineering
Summary
| Field |
Value |
| Source/Database |
WebSearch |
| Query terms |
prompt engineering imperative constraints MUST NOT directives explicit instructions best practices |
| Filters |
None |
| Results returned |
10 |
| Results selected |
3 |
| Results rejected |
7 |
Selected Results
| Result |
Title |
URL |
Rationale |
| S01-R01 |
Prompting best practices - Claude API Docs |
https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices |
Primary vendor documentation from Anthropic |
| S01-R02 |
The Ultimate Guide to Prompt Engineering in 2026 - Lakera |
https://www.lakera.ai/blog/prompt-engineering-guide |
Comprehensive industry guide with constraint discussion |
| S01-R03 |
Prompt Engineering Basics (2026) - Medium |
https://medium.com/@mjgmario/prompt-engineering-basics-2026-93aba4dc32b1 |
Industry source recommending imperative language |
Rejected Results
| Result |
Title |
URL |
Rationale |
| S01-R04 |
Defining Constraints for Effective Prompts - CodeSignal |
https://codesignal.com/learn/courses/prompting-foundations/lessons/defining-constraints-and-requirements-for-effective-prompts |
Content not extractable (minified JS) |
| S01-R05 |
Best practices - OpenAI Help Center |
https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api |
403 access error |
| S01-R06 |
Prompt engineering - OpenAI API |
https://platform.openai.com/docs/guides/prompt-engineering |
403 access error |
| S01-R07 |
Prompt Engineering Guide - Infomineo |
https://infomineo.com/artificial-intelligence/prompt-engineering-techniques-examples-best-practices-guide/ |
General guide without specific constraint focus |
| S01-R08 |
Prompt engineering best practices - Claude blog |
https://claude.com/blog/best-practices-for-prompt-engineering |
Duplicate of Anthropic docs |
| S01-R09 |
Best practices for LLM prompt engineering - Palantir |
https://www.palantir.com/docs/foundry/aip/best-practices-prompt-engineering |
Enterprise-specific |
| S01-R10 |
What is Prompt Engineering - Salesforce |
https://www.salesforce.com/artificial-intelligence/prompt-engineering/?bc=OTH |
General overview |
Notes
OpenAI's documentation was inaccessible (403 errors on both help center and API docs). This is a significant gap. Anthropic's documentation was successfully fetched and provides the most detailed vendor perspective.