Skip to content

Agentic Benchmarking Advances

Design benchmark suites that capture tool-use reliability, multilingual stability, and planning depth for frontier agent systems.

advanced4 / 9

Scoring strategies for complex behaviors

Plan fidelity scoring#

  • Parse the agent’s plan artifact into steps; check coverage against required sub-goals.
  • Penalize omitted or redundant steps; award partial credit for alternative valid sequences.
  • Track re-planning frequency: agents that constantly rewrite plans may need better memory or state integration.

Tool execution scoring#

  • Validate API call payloads and responses. Mark runs as failed if the agent ignores errors and continues as if the call succeeded.
  • Monitor latency and retry behavior to ensure the agent stays within service-level constraints.

Multilingual robustness scoring#

  • Run the same scenario in multiple languages. Use bilingual reviewers or translation back-checks to assess semantic equivalence.
  • Measure language mixing and register drift. Stable agents maintain consistent tone, even when switching from formal to casual modes.

Safety scoring#

  • Include “policy red team” cases that ask for restricted operations. Verify that the agent declines with appropriate rationale and suggests alternatives if allowed.
  • Track false positives (overly cautious refusals) to avoid harming user trust.

Aggregate dimension scores into a weighted composite aligned with your product goals. For example, customer support agents might prioritize tool execution and multilingual robustness, while R&D assistants lean on plan fidelity and safety.

Section 4 of 9
Next →