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.

0
Duration
15s
Input Tokens
1260
Output Tokens
208
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 task involves selecting one of the three provided plans to gather information about flights from London to Paris for tomorrow. The plans differ mainly in the steps taken after retrieving the date. Both Plan A and Plan C include cross-checking or supplementing flight results if there are discrepancies or insufficient options, respectively. Plan B is the simplest, directly summarizing flight options after retrieval. Given the user's request and the available tools, the most efficient and comprehensive approach is Plan C, which ensures that if initial results are limited, additional web search is performed to supplement the data. This plan balances thoroughness with efficiency and makes logical sense for providing a complete response to the user.

Response: Plan C is selected for execution. It involves retrieving tomorrow's date, fetching available flights from London to Paris for that date, checking if the flight options are fewer than three, and if so, supplementing the results with a web search before merging and summarizing for the user.