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.

Duration

12s

Input Tokens

1499

Output Tokens

185

Cost

$0.00

Context

Input

As the first step you are reflecting and deciding on the plan to follow to complete the task. You have three candidate plans:

A) Plan A:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Call web_search with query "London to Paris flights on [date]" to cross-check available flights found in the previous step.
- Step 4 → If there are discrepancies between flights tool and web search, re-query flights tool for confirmation.
- Step 5 → Summarize all gathered flight options and send results to the user.

B) Plan B:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Summarize flights tool results and send to the user.

C) Plan C:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results.
- Step 4 → Merge both sets of results and send the combined summary to the user.

Pick **one** plan you will execute.

Expected output

Plan B, is the preferred one as its the most efficient, and that is instructed

Model output

Reasoning: The user's request is to find available flights from London to Paris for tomorrow. Available tools include 'calendar' to get tomorrow's date, 'flights' which is specifically designed for finding flights (requiring from_city, to_city, date), and 'web_search' as a general tool. The instructions emphasize aiming for the most direct and effective path, being precise, avoiding unnecessary loops, and staying focused on the goal. Plan B is the most direct: retrieve tomorrow's date via calendar, query the specialized 'flights' tool, then summarize and send results to the user. No need for cross-checking (Plan A introduces potential loops and discrepancies handling) or conditional supplementation (Plan C adds unnecessary web_search unless results are insufficient, but 'flights' should suffice). This aligns with efficient tool use without extras.

Response: I will execute **Plan B**.