The Model Context Protocol (MCP) in AgentForce and Salesforce AI architecture enables agents to dynamically discover and connect to external tools or APIs during runtime. The documentation defines it as: “MCP allows LLMs to query registered tool endpoints and retrieve their schemas, enabling dynamic tool discovery and invocation in enterprise AI environments.”
This makes Option A correct — a legal assistant agent using MCP to find a document classification API illustrates the dynamic, protocol-driven discovery and use of enterprise tools.
Option B, agent-to-agent conversation, involves Agent Network Communication, not MCP. Option C, agent capability discovery through Agent Cards, refers to the Agent Directory feature.
Therefore, Option A best reflects Salesforce’s documented description of MCP’s role in enterprise AI integrations.
References (AgentForce Documents / Study Guide):
AgentForce Architecture Guide: “Model Context Protocol Overview”
AgentForce Developer Study Notes: “Dynamic Tool and API Discovery with MCP”
AgentForce Technical Overview: “Enterprise AI Integration via MCP”
