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
14s
Input Tokens
1580
Output Tokens
516
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 the most efficient approach:

Plan A involves:
- Getting tomorrow's date
- Calling the flights tool
- Cross-checking with web search
- Potential re-querying if discrepancies exist
- Summarizing results

This plan is overly cautious and adds unnecessary complexity. It assumes the flights tool might be unreliable and requires verification, which adds extra steps without clear benefit.

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

This is the most direct approach. It assumes the flights tool is reliable (which is reasonable since it's provided as an available tool) and completes the task in the minimum number of steps.

Plan C involves:
- Getting tomorrow's date
- Calling the flights tool
- Conditionally calling web search if fewer than 3 options are returned
- Merging and summarizing results

This plan adds conditional logic that may not be necessary. It assumes we need at least 3 options, which wasn't specified in the user's request.

Given the instruction to 'always aim for the most direct and effective path,' Plan B is the optimal choice. The user simply asked to 'find information about available flights' - they didn't request verification, multiple sources, or a minimum number of options. The flights tool is marked as 'available' and has a clear, structured schema, suggesting it should be reliable.

Plan B follows the principle of efficiency: use the specialized tool designed for the task, get the results, and deliver them to the user without unnecessary additional steps.

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

This plan is the most direct and efficient approach to fulfill the user's request. It involves three straightforward steps:
1. Call the calendar tool to get tomorrow's date
2. Call the flights tool with the route (London to Paris) and the date
3. Summarize the flight results and send them to the user

This plan avoids unnecessary complexity while effectively using the available specialized tools to complete the task.