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.

0
Duration
10s
Input Tokens
1466
Output Tokens
380
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: Let me analyze each plan considering efficiency, reliability, and completeness:

Plan A:
- Comprehensive but potentially redundant
- Double verification might be unnecessary if flights tool is reliable
- More time-consuming due to multiple checks
- Could lead to confusion if discrepancies found

Plan B:
- Most straightforward and efficient
- Assumes flights tool is reliable
- Might miss some options if flights tool has limited data
- Doesn't provide cross-verification

Plan C:
- Balanced approach with conditional web search
- Only uses web search when needed (< 3 options)
- Efficient use of tools while ensuring comprehensive results
- Provides backup without unnecessary redundancy

Decision: I choose Plan C because:
1. It's efficient - doesn't always require web search
2. It ensures comprehensive results
3. Has a clear condition for when to use additional tools
4. Provides a good balance between thoroughness and efficiency
5. Aligns with the instruction to "aim for the most direct and effective path"

Response: I will execute 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.