The **Finance Agent Benchmark Green Agent** is a domain-specific evaluation environment designed to test and compare **Purple Agents on real-world financial research tasks** within the AgentBeats architecture. The Green Agent acts as both the **benchmark coordinator and financial tool provider**. During an evaluation, it presents questions from the benchmark dataset to the participating Purple Agent, exposes the tools required to investigate those questions, and evaluates the submitted answers against the benchmark's expected results. Its architecture is built around three main layers: **A2A Evaluation Layer** — Communication between the Green Agent and participating Purple Agents follows the Agent-to-Agent (A2A) protocol using JSON-RPC. This keeps the benchmark independent of the Purple Agent's internal implementation: participants can use any reasoning architecture, LLM, or framework as long as their agent implements the expected A2A interface. **MCP Financial Tool Layer** — The Green Agent exposes domain-specific financial tools through the Model Context Protocol (MCP). These tools provide structured access to SEC EDGAR data, including company submissions, XBRL company facts and concepts, financial frames, CIK resolution, and other financial information. Purple Agents can dynamically call these tools while reasoning about benchmark questions. **Financial Filing Retrieval Layer** — For questions that require information buried inside SEC filings, the benchmark also provides retrieval capabilities for submitted documents. Relevant filings can be retrieved, processed, embedded, and searched so agents can work with unstructured financial disclosures in addition to structured financial data. The overall evaluation flow is: **Benchmark Question → Green Agent → Purple Agent → MCP Financial Tools / SEC EDGAR / Filing Retrieval → Purple Agent Answer → Green Agent Evaluation** This separation intentionally gives the **Purple Agent control over reasoning and tool usage**, while the **Green Agent provides a consistent data and evaluation environment**. As a result, different agent architectures can be tested against the same financial questions, tools, and scoring process. Developers can therefore focus on improving their Purple Agent's reasoning, planning, tool selection, retrieval strategy, and answer generation without having to rebuild the underlying financial-data infrastructure.