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

11s

Input Tokens

1445

Output Tokens

671

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 evaluate the three candidate plans for finding flights from London to Paris for tomorrow. Plan A is thorough but includes unnecessary verification steps (web_search by default, re-querying for discrepancies) which could create loops. Plan B is the most direct but offers no fallback if the flights tool returns limited results. Plan C offers the best balance: it starts with essential steps (calendar + flights), only calls web_search conditionally if fewer than 3 options are returned, and merges results. This aligns with the instructions to be 'direct and effective' while avoiding 'unnecessary loops' - web_search is only used when needed, not by default. Plan C ensures the user gets adequate flight options without wasting resources on unnecessary verification steps.

Response: I choose Plan C. This plan provides the optimal balance between efficiency and reliability: (1) Get tomorrow's date from calendar, (2) Query the flights tool for London to Paris, (3) Only use web_search as a backup if fewer than 3 flight options are returned, (4) Merge and present all results to the user. This approach follows the principle of being direct while ensuring quality results without unnecessary verification loops.