This is a Python agent runtime library, not an MCP server. The 7 tools are defined in example files (01_quickstart.py, 02_agent_loop.py, 03_permissions.py, 04_sandbox.py) and appear to be demonstration code rather than production tool definitions. Tool schemas are present with basic type info (integer, string, array), but descriptions are minimal (10-50 chars, well below the 50-200 char baseline for LLM-optimized descriptions). No evidence of output schemas, error recovery guidance, or parameter constraints (enums, ranges). The 'add' tool appears twice (duplicate). The 'shell' tool accepts arbitrary commands with minimal safety guardrails visible in the schema alone. Overall, definitions lack the depth needed for reliable agent reasoning.

• Expand tool descriptions to 50-200 characters. Example: 'add' → 'Add two integers and return their sum. Use this for arithmetic operations. Returns: {result: integer}.'
• Document output schemas for every tool. Specify field names, types, and what data they contain. E.g., lookup returns {definition: string, word: string, found: boolean}.
• Add parameter constraints: shell's 'timeout' should document max=5.0 in description; lookup's 'word' should note case sensitivity and max length.
• Implement approval/confirmation flow for delete_account and shell. Add a 'dry_run' parameter or require explicit confirmation before execution.
• Remove duplicate 'add' tool definition. Consolidate into a single canonical definition with clear naming (e.g., 'add_integers' if disambiguation is needed).