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

1160

Output Tokens

204

Cost

$0.00

Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: To complete the task (identify which tools are needed), I only need to determine the minimal tool chain required for: finding cheapest flights from London to Paris for tomorrow and returning top 3 options. From the provided tools, calendar is needed to resolve “tomorrow” into a concrete date, flights is needed to search and rank cheapest flight options, and memory is required by the agent rules to store results after each tool call. Therefore, all three available tools are needed.

Response: {"needed_tools":[{"name":"calendar","why":"To compute/confirm the exact date for 'tomorrow' before flight search."},{"name":"flights","why":"To search London→Paris flights for that date and retrieve/sort the cheapest options, returning top 3."},{"name":"memory","why":"Required by instructions to store meaningful results after every tool call."}],"not_needed_tools":[],"minimal_chain":"calendar -> memory -> flights -> memory"}