Evaluating graphic designs involves assessing it from multi- ple facets like alignment, composition, aesthetics and color choices. Evaluating designs in a holistic way involves aggre- gating feedback from individual expert reviewers. Towards this, we propose an Agentic Design Review System (Agentic- DRS), where multiple agents collaboratively analyze a design, orchestrated by a meta-agent. A novel in-context exemplar selection approach based on graph matching and a unique prompt expansion method plays central role towards making each agent design aware. Towards evaluating this framework, we propose DRS-BENCH . Thorough experimental evaluation against state-of-the-art baselines adapted to the problem setup, backed-up with critical ablations brings out the efficacy of Agentic-DRS in evaluating graphic designs and generating ac- tionable feedback. We hope that this work will attract attention to this pragmatic, yet under-explored research direction.