In an agentic loop, the AI agent iteratively tries to solve a user ' s request by calling actions and evaluating the results. If the results of those actions are unsatisfactory (e.g., the data returned doesn ' t answer the prompt or a required input is missing), the agent ' s next logical step is to ask for additional information. By clarifying the user ' s intent or requesting the missing data point, the agent can initiate a new loop with better inputs. Giving up with an error message (Option B) or providing a " best guess " (Option A) are considered failures of the reasoning process. Routing to a live agent (Option C) is an escalation step that typically happens after the agent has failed to resolve the issue even after clarification, or if the user explicitly asks for human help.