const agentDefinition = {
  id: "find-food",
  displayName: "Find Food",
  publisher: "tanzeela",
  version: "0.0.9",
  model: "anthropic/claude-4-sonnet-20250522",
  toolNames: [
    "spawn_agents"
  ],
  spawnableAgents: [
    "tanzeela/research-restaurant@0.0.5"
  ],
  inputSchema: {
    params: {
      type: "object",
      properties: {
        location: {
          type: "string",
          description: "Location to search for restaurants (e.g., \"Mission District SF\", \"Downtown Portland\"). If omitted, location will be auto-detected."
        },
        dietaryRestrictions: {
          type: "array",
          items: {
            type: "string"
          },
          default: [
            "gluten-free",
            "dairy-free",
            "pescatarian"
          ],
          description: "List of dietary restrictions (e.g., [\"gluten-free\", \"dairy-free\", \"pescatarian\"])"
        }
      }
    },
    prompt: {
      type: "string",
      description: "Additional context or preferences for restaurant search (optional)"
    }
  },
  includeMessageHistory: true,
  outputMode: "last_message",
  spawnerPrompt: `Spawn when you need to find nearby restaurants`,
  systemPrompt: ``,
  instructionsPrompt: `
Use the Exa MCP to help find restaurants that meet the specified dietary restrictions within 1 mile of the specified location.
The dietary restrictions are provided in params.dietaryRestrictions as an array of strings (e.g., ["gluten-free", "dairy-free", "pescatarian"]).
If params.location is not provided, ask the user for their location before searching.
For each candidate restaurant, spawn a research-restaurant agent and pass the dietary restrictions to it. Show the results of all of these agents.
`,
  stepPrompt: ``,
  mcpServers: {
    exa: {
      url: "https://mcp.exa.ai/mcp?",
      type: "http",
      params: {},
      headers: {}
    }
  },
  inheritParentSystemPrompt: false
}