Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore
Measuring whether agents actually use the right tools matters more than measuring whether they sound fluent.
Why it matters
As agents move from pilots to production, evaluation frameworks that distinguish between fluent hallucination and correct skill selection become critical infrastructure. Strands Evals + Bedrock AgentCore Evaluations address a real engineering gap: skill-equipped agents need measurable correctness, not just coherent output.
The key facts
10 to knowStrands Evals framework for agent skill evaluation
Amazon Bedrock AgentCore Evaluations integration
Focus on skill selection accuracy (not just fluency)
Instruction-following measurement as a core reliability metric
Skills as reusable, portable domain-specific procedures
Amazon Bedrock AgentCore now includes agent evaluation framework
Strands Evals integration enables skill-selection measurement
Focus on instruction-following fidelity in agents
Distinction: output fluency ≠ correct skill routing
Tools: Bedrock AgentCore Evaluations for production agent reliability
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and instruction following with Strands Evals and Amazon Bedrock AgentCore…
