True or False: When designing a multi-step agentic workflow, it is a best practice to explicitly instruct Claude in the system prompt exactly which…

According to Anthropic's architectural guidelines, there is a fundamental distinction between "workflows" and "agents." In an agentic workflow, the LLM is given autonomy to dynamically direct its own processes, reason about intermediate outputs, and decide which tools to call and when. If a task requires tools to be called in an exact, predetermined order to eliminate suboptimal decisions, it is a best practice to orchestrate this deterministically using application code (e.g., prompt chaining, state machines, or programmatic routing) rather than relying on an agentic prompt. Attempting to force strict, multi-step determinism purely through system prompt instructions in an agentic loop is an anti-pattern; it is brittle, prone to prompt-following degradation over long contexts, and negates the primary advantage of agents—their flexible, autonomous reasoning.

Selecting "True" is incorrect because it conflates autonomous agents with deterministic workflows. If an exact execution order is strictly required, developers should not use an open-ended agentic loop. Instead, they should use programmatic orchestration (such as explicitly chaining API calls or using the toolchoice parameter in code) to guarantee the execution path, rather than hoping the model perfectly follows a complex sequence of instructions in the system prompt.

1. Anthropic Official Documentation. "Building effective agents." Section: Workflows vs. Agents. (Defines workflows as systems where paths are predefined by code

whereas agents dynamically direct their own processes and tool usage based on environmental feedback).

2. Anthropic Official Documentation. "Tool use (function calling)." Section: Forcing tool use. (Details how to use the toolchoice parameter programmatically when a specific tool must be used

rather than relying solely on prompt instructions for strict determinism).