"Initial request gathering. When a user says, "I want to book dinner tonight," the context agent asks clarifying questions: "How many people will be dining? What type of cuisine are you in the mood for? Any dietary restrictions I should know about? What time works best for you?" Preference refinement. As the conversation develops, the agent digs deeper. If the user mentions "something healthy," it might ask, "Are you looking for high-carb options, or do you prefer high-protein dishes? Any specific cuisines you're avoiding?""
"Research and validation. Using web search and other MCP tools, the context agent researches local restaurants that match the criteria, checks their current availability and reviews their menus for dietary accommodations. It might come back to the user with: "I found three restaurants with excellent vegan options. Would you prefer Thai or Italian cuisine?" Strategy formulation. Once the agent determines it has sufficient context - knowing the party size, cuisine preference, dietary restrictions, preferred time, backup times and even backup restaurant options -"
The context agent conducts a natural, detailed conversation to collect all necessary booking information before any outbound calls. The agent begins with clarifying questions about party size, cuisine, dietary restrictions, and timing. The conversation deepens into preference refinement, probing specifics like macronutrient focus or cuisines to avoid. The agent performs research and validation via web tools to find matching restaurants, check availability, and confirm menu accommodations. Once comprehensive context and backups are established, the agent formulates a detailed execution plan. The execution agent then uses that enriched context to make live phone calls and real-time decisions.
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