import briefcase_ai as bf
from typing import Any, Dict, Optional

def observe_mcp(context: Any):
    """
    Instruments Anthropic Model Context Protocol (MCP) to capture resource 
    usage and tool executions with full data lineage.
    """
    # MCP is usually a client-server protocol.
    # This adapter would wrap the MCP client's request/response cycle.
    
    def tracked_call_tool(tool_name: str, arguments: Dict[str, Any]):
        decision = bf.Decision(f"mcp_tool_call_{tool_name}")
        decision.add_tag("protocol", "mcp")
        
        # Capture tool input as DataRef if it looks like a resource
        decision.add_input(bf.Input("arguments", arguments, "json"))
        
        # Logic to execute actual tool call would go here
        # result = original_call_tool(tool_name, arguments)
        
        # decision.add_output(bf.Output("result", result, "string"))
        # bf.save(decision)
        # return result
        pass

    return context # return instrumented context
