Why AI tool-use agents stall and how teams make them finish tasks

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Agent demos often look impressive for a few tool calls before breaking down through wrong tool selection, empty results, endless retries, or unverified answers. The article argues that the main obstacle in 2026 is not model capability but the design of tool contracts, permission boundaries, and stop conditions. It recommends strict JSON Schema validation for every tool, layered permissions separating read, write, and irreversible actions, and human approval for high-stakes operations like payments, deletions, or external sends. It also stresses explicit step limits, completion checklists, and full logging of tool calls so failures can be replayed and debugged. Finally, it advises evaluating agents under tool failure conditions rather than only on ideal-case benchmarks.

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Google Play Billing: Confirming Purchases Are Acknowledged, Not Just Unlocked

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Developers Defend Using Free Game Assets as a Practical Choice

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