Agents – gcp/gemini-3-pro-preview Task

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

10s

Input Tokens

1509

Output Tokens

839

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's request is straightforward: find available flights for a specific route and time relative to the current date. Plan B is the most direct and effective path to achieve this. 

1. **Step 1 (Call calendar)** is necessary to resolve 'tomorrow' into a specific date required by the flights tool.
2. **Step 2 (Call flights)** directly addresses the core request using the specialized tool available for this purpose.
3. **Step 3 (Summarize)** provides the final answer to the user.

Plan A introduces unnecessary complexity by mandating a web search for cross-checking, which violates the instruction to avoid unnecessary loops and aim for the most direct path. Plan C introduces conditional logic that assumes the flights tool might yield insufficient results, which, while robust, is less direct than Plan B as a primary strategy. Therefore, Plan B is the optimal choice.

Response: Plan B

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.

Reasoning: The user's request is straightforward: find available flights for a specific route and time relative to the current date. Plan B is the most direct and effective path to achieve this. 1. **Step 1 (Call calendar)** is necessary to resolve 'tomorrow' into a specific date required by the flights tool. 2. **Step 2 (Call flights)** directly addresses the core request using the specialized tool available for this purpose. 3. **Step 3 (Summarize)** provides the final answer to the user. Plan A introduces unnecessary complexity by mandating a web search for cross-checking, which violates the instruction to avoid unnecessary loops and aim for the most direct path. Plan C introduces conditional logic that assumes the flights tool might yield insufficient results, which, while robust, is less direct than Plan B as a primary strategy. Therefore, Plan B is the optimal choice. Response: Plan B