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

Input Tokens

1311

Output Tokens

259

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: I need to analyze the three candidate plans (A, B, and C) and choose the most appropriate one for the user's request to find flights from London to Paris for tomorrow. Let me evaluate each plan:

Plan A involves calling the calendar to get tomorrow's date, then using the flights tool to find flights, followed by a web search to cross-check the results. If there are discrepancies, it re-queries the flights tool and summarizes all options. This plan seems thorough but might be redundant with the cross-checking step.

Plan B is simpler: it gets tomorrow's date, uses the flights tool, and summarizes the results. This is straightforward but doesn't include any verification or additional search steps.

Plan C is similar to Plan A but instead of cross-checking, it supplements the flights tool results with web search if fewer than 3 options are found. This seems like a good balance between thoroughness and efficiency.

Given the user's request to find available flights, Plan C seems the most appropriate as it ensures a minimum number of options while being efficient. It's more robust than Plan B and less redundant than Plan A.

I will choose Plan C to execute.

Response: Plan C