Building the Message and Calling the LLM

With your get_context_from_mcp(user_query) helper function created to return the resource text and prompt text, it's time to pass that information to the LLM!

The currency server, get_context_from_mcp(), get_tools_from_mcp(), call_mcp_tool(), and the Claude client are set up in the background. You need to complete the function that builds the prompt, calls the model, and handles either a direct message or a tool call. You've been provided with an ambiguous and an unambiguous user input to see if your MCP prompts made the difference!

On line 37, build full_prompt by concatenating prompt_text, the string "\n\nSupported currencies:\n", and resource_text.
On line 47, send the full_prompt (as the user message content) and the anthropic_tools list to the model.
On lines 52-55, if the response's stop_reason is "end_turn", return str(text).
On lines 58-60, if the response's stop_reason is "tool_use", pass the tool use block's .name and .input to call_mcp_tool().

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Building the Message and Calling the LLM

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