Why More Tools Make AI Agents Less Reliable, Not More Capable
Explore how overlapping tools, vague descriptions, and excessive choice undermine agent performance—and how disciplined tool design restores reliability.
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Explore how overlapping tools, vague descriptions, and excessive choice undermine agent performance—and how disciplined tool design restores reliability.
Build citation-aware responses by tracking evidence spans, constraining claims, validating source alignment, and handling cases where support is insufficient.
Explore why token probabilities are not trustworthy confidence scores and how calibration, evidence checks, and abstention policies can make AI answers safer.
Service objectives, error budgets, runbooks, staged rollouts, and blameless reviews offer AI teams a disciplined way to manage uncertain model behavior in production.