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

1325

Output Tokens

574

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 plans to determine the most effective approach for finding London to Paris flight information for tomorrow. Let me evaluate each:

**Plan A**: Uses flights tool and then cross-checks with web search to verify discrepancies. This is thorough but adds unnecessary complexity - if the flights tool is working correctly, verification adds extra steps without clear benefit.

**Plan B**: Simple and direct - uses calendar and flights tool only. However, it risks returning incomplete information if the flights tool has limited coverage.

**Plan C**: Adaptive approach - uses calendar and flights tool first, then conditionally supplements with web search only if fewer than 3 options are found. This balances efficiency with thoroughness.

**Decision**: Plan C is the optimal choice because:
1. It starts with the most appropriate tool (flights) for the task
2. It is adaptive - only seeks additional sources if needed, avoiding unnecessary work
3. It ensures comprehensive results by supplementing when primary source is limited
4. It aligns with the instruction to aim for "the most direct and effective path" while still handling edge cases
5. It efficiently merges results to give the user a complete picture

This plan ensures I provide valuable flight options without wasteful steps.

Response: Plan C