Design AI agent tools with clear schemas, descriptions, and error handling that prevent hallucination and token waste.

• ›Focuses on JSON Schema best practices and description writing that helps LLMs understand tool intent and constraints, not just implementation details
• ›Covers tool validation, explicit error handling patterns, and recovery strategies that prevent silent failures and agent loops
• ›Includes guidance on the Model Context Protocol (MCP) standard for tool interoperability acr