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.

100
Duration
34s
Input Tokens
1467
Output Tokens
608
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: Let me analyze the three candidate plans to determine which one is most appropriate for finding flight information from London to Paris for tomorrow:

Plan A involves:
- Getting tomorrow's date (necessary)
- Calling the flights tool (essential)
- Cross-checking with web search (adds verification)
- Re-querying if discrepancies found (could be time-consuming)
- Summarizing all options

This plan is thorough but might be overly complex. The re-querying step (Step 4) could create unnecessary loops, especially if the flights tool is reliable.

Plan B involves:
- Getting tomorrow's date (necessary)
- Calling the flights tool (essential)
- Summarizing and sending results

This is the most direct approach. It assumes the flights tool will provide sufficient information, which is reasonable since we have a dedicated flights tool available.

Plan C involves:
- Getting tomorrow's date (necessary)
- Calling the flights tool (essential)
- Conditionally using web search if fewer than 3 options (adaptive)
- Merging and summarizing results

This plan strikes a good balance between efficiency and thoroughness. It uses the web search as a supplementary tool only when needed (if results are limited).

Considering the user's request is straightforward ("find information about available flights"), and we have a dedicated flights tool that should be comprehensive, Plan B is the most efficient. However, Plan C provides a safety net without unnecessary complexity.

Given that the user simply needs flight information and doesn't specify needing extensive options or cross-verification, and following the principle of using "the most direct and effective path" as stated in the instructions, I'll choose Plan B. It's the simplest approach that directly addresses the user's need without unnecessary steps.

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

This plan is the most direct and efficient approach to fulfill the user's request. The flights tool is specifically designed for finding available flights and should provide reliable, comprehensive results. Adding unnecessary verification steps (as in Plan A) or conditional logic (as in Plan C) would complicate the process without clear benefit, especially since the user's request is straightforward - they simply need flight information from London to Paris for tomorrow.

Plan B follows the principle of using the most direct path to reach the goal:
1. Get tomorrow's date from the calendar tool
2. Use that date to query the flights tool for London to Paris flights
3. Present the results to the user

This approach is clean, focused, and avoids potential unnecessary loops or complications.