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

1375

Output Tokens

212

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. Three candidate plans are provided. I need to select the most appropriate one based on efficiency, reliability, and alignment with best practices. Plan A includes cross-checking flights data with web search and handling discrepancies—this adds robustness but may be redundant if the flights tool is reliable. Plan B is the most direct: get date → query flights → report. It's efficient but offers no fallback if flights data is incomplete. Plan C improves on B by supplementing with web search only when fewer than 3 flight options are returned—this balances efficiency and completeness. Given the instruction to aim for the most direct and effective path while ensuring robustness (per 'handle tool outputs carefully' and 'avoid unnecessary loops'), Plan C is optimal: it avoids unnecessary web searches when flights data is sufficient (e.g., ≥3 options), but ensures completeness when needed. It respects tool limitations without over-engineering the workflow.

Response: Plan C