execute_program
Execute Python programs that call multiple MCP tools in sequence, handling loops, conditional logic, and data aggregation while keeping intermediate results local to reduce latency.
Instructions
Execute a Python program with access to MCP tools as async functions. Tool calls within the script are dispatched to their respective MCP servers. Only stdout (from print statements) is returned — intermediate tool results do not enter the conversation context. Use this when a task involves 3+ tool calls, loops, filtering, aggregation, or conditional logic based on intermediate results. For single tool calls, call the tool directly. All tool functions require await.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Python code to execute. MCP tools are available as async functions using their namespaced names (e.g., mcp__financial_data__query_financials). Use `await` for all tool calls. Use `print()` to produce output. |