Agents – anthropic/claude-opus-4.6 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

1534

Output Tokens

374

Cost

$0.02

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 select the best plan for finding flights from London to Paris for tomorrow. Let me evaluate each plan:

**Plan A** involves calling the flights tool and then cross-checking with web_search, plus handling discrepancies. This is overly complex and introduces unnecessary steps. The flights tool is a dedicated tool for finding flights, so cross-checking with a general web search adds redundancy and potential confusion from inconsistent data sources.

**Plan B** is the most direct and efficient approach: get tomorrow's date, query the flights tool, and summarize results. It uses the dedicated flights tool which should be the authoritative source for flight information. This aligns with the instruction to "always aim for the most direct and effective path" and "avoid unnecessary loops."

**Plan C** adds a conditional web search if fewer than 3 results are returned. While this seems reasonable, it introduces complexity by merging results from two different sources (a structured flights tool and unstructured web search results), which could lead to inconsistencies, duplicate entries, or formatting issues. The flights tool is purpose-built for this task and should be trusted as the primary source.

**Decision: Plan B** is the best choice because:
1. It follows the principle of taking the most direct and effective path.
2. It uses the dedicated flights tool which is designed for exactly this purpose.
3. It avoids unnecessary tool calls and complexity.
4. It minimizes the chance of errors from merging disparate data sources.
5. If the user needs more information after seeing the results, they can always ask for a follow-up search.

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: I need to select the best plan for finding flights from London to Paris for tomorrow. Let me evaluate each plan: **Plan A** involves calling the flights tool and then cross-checking with web_search, plus handling discrepancies. This is overly complex and introduces unnecessary steps. The flights tool is a dedicated tool for finding flights, so cross-checking with a general web search adds redundancy and potential confusion from inconsistent data sources. **Plan B** is the most direct and efficient approach: get tomorrow's date, query the flights tool, and summarize results. It uses the dedicated flights tool which should be the authoritative source for flight information. This aligns with the instruction to "always aim for the most direct and effective path" and "avoid unnecessary loops." **Plan C** adds a conditional web search if fewer than 3 results are returned. While this seems reasonable, it introduces complexity by merging results from two different sources (a structured flights tool and unstructured web search results), which could lead to inconsistencies, duplicate entries, or formatting issues. The flights tool is purpose-built for this task and should be trusted as the primary source. **Decision: Plan B** is the best choice because: 1. It follows the principle of taking the most direct and effective path. 2. It uses the dedicated flights tool which is designed for exactly this purpose. 3. It avoids unnecessary tool calls and complexity. 4. It minimizes the chance of errors from merging disparate data sources. 5. If the user needs more information after seeing the results, they can always ask for a follow-up search. Response: Plan B