Agent Prompting & Delegation

Craft multi-section prompts that specify the objective, success criteria, context, and expected output format before invoking a task tool. Include explicit validation rules, output structure directives (XML tags, Markdown, prefilled guides), and token budget constraints to reduce ambiguity and improve sub-agent coordination.

Use standardized output formats and parallel delegation patterns in your task tool prompts. Structure each prompt with consistent sections for objective, context, success criteria, and format specification so agents work predictably across simultaneous invocations without conflicting outputs.

Apply context engineering by making instructions explicit: state functional requirements upfront, define success criteria clearly, specify mandatory output structures, and include error handling directives. Proactive prompting before every task tool invocation prevents unclear outputs and reduces coordination friction.

Yes. Build reusable prompt templates with clear sections for objective, context, success criteria, and output format. Templates accelerate multi-agent orchestration by letting you adapt and apply the same structure across varying task tools while maintaining consistency and predictability.

Include objective statements, contextual background, explicit success criteria, mandated output structures (XML, Markdown), validation rules, and token budget directives. This structured approach eliminates guesswork and ensures sub-agents produce outputs that match your functional requirements exactly.

Context engineering clarifies instructions by providing relevant background, specifying constraints, and defining expected formats upfront. Clearer context reduces misinterpretation, improves output predictability, and enables scalable workflows where multiple agents coordinate reliably without repeated clarification cycles.