https://datatweets.com/courses/ai-agents/designing-tools/Recent content in Designing Tools on DATATWEETSHugoenCopyright (c) 2025 DatatweetsSun, 28 Jun 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-1-what-makes-a-good-tool/Fri, 02 Jan 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-1-what-makes-a-good-tool/Most of an agent’s reliability comes from tool design. Learn the four levers that make a tool Claude uses well: a clear name, a description that says when to use it, a tight and typed input schema, and a clear return value.https://datatweets.com/courses/ai-agents/designing-tools/lesson-2-validating-inputs-with-pydantic/Fri, 02 Jan 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-2-validating-inputs-with-pydantic/A schema guides Claude but can’t guarantee valid inputs. Define a tool’s inputs as a Pydantic model with typed, constrained fields, generate the input_schema from it so the two never drift, and validate every call — raising a clear error before your function runs.https://datatweets.com/courses/ai-agents/designing-tools/lesson-3-errors-and-the-repair-loop/Fri, 02 Jan 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-3-errors-and-the-repair-loop/A robust agent never crashes on a bad tool call. Build a validate-then-run wrapper that returns failures as is_error tool_results, wire it into the loop, and watch Claude read the error and repair its own call on the next step.https://datatweets.com/courses/ai-agents/designing-tools/lesson-4-tool-design-patterns/Fri, 02 Jan 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-4-tool-design-patterns/Beyond a single good tool: design a whole tool set well. Right-size granularity and avoid overlap, know which tools are safe to run in parallel or retry, gate irreversible side effects behind confirmation, and shape concise, consistent return values.https://datatweets.com/courses/ai-agents/designing-tools/lesson-5-guided-project-robust-atlas-tools/Fri, 02 Jan 2026 09:00:00 +0200https://datatweets.com/courses/ai-agents/designing-tools/lesson-5-guided-project-robust-atlas-tools/Apply the whole module: give Atlas robust tools with Pydantic input models, schemas generated from those models, a validate-then-run wrapper, and a registry-driven loop that turns any failure into an is_error result Claude can recover from.