Opper

Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Agents – openai/gpt-5 Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

You must find today's date so you can time-stamp a help-desk note. Which tool do you call and with what parameters?

Expected output

Use the **calendar** tool with parameters {"action": "get_current_date"}.

Model output

Reasoning: ANALYZE: The task is to obtain today's date to time-stamp a help-desk note. Context lists a calendar tool with a get_current_date action that requires only the action field. No metadata method is available, but the schema is explicit. PLAN: Minimize calls by directly requesting the current date. ACT: Call the calendar tool with parameters {"action":"get_current_date"}. REFLECT: This should return today's date in ISO-8601; if a human-friendly format is later required, a follow-up format_date call can be made, but not needed now. DECIDE: Provide the exact tool and parameters to use.

Response: Call tool: calendar; Parameters: {"action":"get_current_date"}