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

1324

Output Tokens

470

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 wants to find flights from London to Paris for tomorrow. I need to select the most appropriate plan from the three options. Let me evaluate each:

- Plan A is thorough with cross-checking via web search, but this adds redundancy since the flights tool should already have accurate information.
- Plan B is the most direct but might miss additional flight options if the tool returns limited results.
- Plan C is balanced - it gets the flights first, and only supplements with web search if fewer than 3 options are returned. This is efficient (avoids unnecessary searches) while ensuring comprehensive results.

Given that the user simply wants flight information and we don't know in advance how many options the flights tool will provide, Plan C offers the best balance between efficiency and completeness. It avoids unnecessary web searches while still ensuring the user gets adequate options.

I'll proceed with Plan C.

Response: Plan C selected