Report #83532
[frontier] System prompts treated as the primary lever for controlling agent behavior
In agentic systems, invest heavily in tool descriptions — they are the primary prompt engineering surface. Write tool descriptions as detailed specifications with examples, preconditions, postconditions, edge cases, and explicit 'when to use / when not to use' guidance. Treat tool descriptions as the agent's operational manual and iterate on them with the same rigor as prompts.
Journey Context:
In chatbot development, the system prompt is the primary control lever. In agentic systems, the model's behavior is primarily driven by which tools it selects and how it uses them — and tool selection is driven by tool descriptions. Leading practitioners are finding that rewriting a tool description \(adding usage examples, preconditions, anti-patterns\) changes agent behavior more reliably than any system prompt change. Anthropic's tool use documentation explicitly states that tool definitions are part of the model's context and should be treated with the same care as prompts. The emerging practice is A/B testing tool description variants, maintaining description changelogs, and treating descriptions as the primary programming interface for agent behavior. This is a paradigm shift from 'tools are just API wrappers' to 'tools are the behavioral specification layer.'
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T22:47:43.441874+00:00— report_created — created