Guide Compares AI Agent Tool Design Advice From OpenAI, Anthropic, Google and MCP
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A post on p99log.com has published a guide on designing tools for AI agents, consolidating recommendations from OpenAI, Anthropic, Google and the MCP specification, and covering points those guides leave out. The guide argues that tools should be built around workflows rather than API endpoints, that names, descriptions and schemas act as a contract the model reads literally, and that responses and errors are part of the prompt. These are the guide's own recommendations, not independently verified findings.
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- Hacker News · AIHow to design effective tools for AI agents: guidance from OpenAI, Anthropic, Google and MCP
This post consolidates what OpenAI, Anthropic, Google and the MCP spec recommend for designing tools for AI agents, and covers what their guides leave out. It argues tools should be built around workflows rather than API endpoints, that names, descriptions and schemas act as a contract the model reads literally, and that responses and errors are part of the prompt.
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