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
16s
Input Tokens
1260
Output Tokens
249
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 information about available flights from London to Paris for tomorrow, and three candidate plans are provided. Plan A involves extensive cross-checking between flight tool data and web search results, which is thorough but more complex and time-consuming. Plan B is the simplest, just using the flights tool and summarizing results, but may lack robustness if flight results are incomplete. Plan C offers a balanced approach: use the flights tool, and only supplement with web search if fewer than three options are found, ensuring coverage without unnecessary extra steps. Given the instructions to be efficient, direct, and avoid unnecessary loops, Plan C is the most effective and logical choice as it uses the most direct method first and supplements only if needed.

Response: I will execute Plan C. This involves first retrieving tomorrow's date using the calendar tool, then querying the flights tool for flights from London to Paris on that date, and if fewer than three flights are returned, I will supplement the results with a web search query "London to Paris flights on [date]". Finally, I will merge the flight results from both sources and present a combined summary to the user.