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.

100
Duration
19s
Input Tokens
1280
Output Tokens
1427
Cost
$0.00
Context
Input
You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?
Expected output
Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.
Model output
Reasoning: I read the task and instructions. Key rules that apply: (1) Always get available methods/params of a tool before using it; (2) Max retries for a tool call = 3 and failures must be logged/explained; (3) After every tool call, store results (including failures) in memory; (4) Avoid redundant identical queries. Current state: flights.search_flights for London->Paris on 2025-05-29 timed out twice (2 attempts). We are allowed one final retry (3 total). To follow the rules and reduce the chance of another identical timeout, I should: (a) first retrieve the flights tool's available methods and parameter schema (to confirm permissible params such as max_results), (b) store the two timeout failure results in memory with clear keys, (c) perform one final (third) attempt of flights.search_flights but modify the call to reduce load (for example, include a conservative max_results like 10) so it is not an identical query, and (d) after the call, store whatever result (success or failure) in memory and proceed accordingly. If the third attempt also fails, I must log that final failure, explain it to the user, and propose fallbacks (ask the user to broaden the date/time window, allow me to try different airports/providers, or ask permission to proceed with an alternative approach).

Response: Next action: (1) Retrieve the flights tool's methods and params (to confirm allowed params such as max_results). (2) Store the two timeout failures in memory (use clear keys, e.g., 'flights_search_2025-05-29_attempt_1_failure' and '_attempt_2_failure'). (3) Make the final (third) retry of flights.search_flights for London->Paris on 2025-05-29, adjusting parameters to avoid an identical query (e.g., include "max_results": 10). (4) After the call, store the result (success or final failure) in memory and then either continue to filter/select top 3 if successful or inform the user and propose fallbacks if it fails.