Glossary
Agent Reliability
Agent reliability is the measurable consistency with which an AI agent completes assigned tasks correctly, on time, and within specified parameters across a sustained period of operation.
What is Agent Reliability?
Reliability is the most intuitive dimension of agent trust. At its core, it answers a simple question: when you give this agent a task, does it get it done? But measuring reliability for AI agents is more nuanced than counting successes and failures. It must account for task difficulty, environmental conditions, edge cases, graceful degradation, and consistency over time.
A truly reliable agent is not just one that succeeds most of the time. It is one that fails predictably and gracefully when it does fail. An agent that completes 95% of tasks perfectly but crashes catastrophically on the other 5% is less reliable than one that completes 92% perfectly and handles the remaining 8% with appropriate error messages and escalation to human operators.
Reliability also has a temporal dimension. An agent that performs well for two weeks and then degrades is less reliable than one that maintains consistent performance over months. This is why reliability scoring must be calculated over rolling time windows and must account for performance trends, not just point-in-time snapshots.
Example
A data extraction agent is tasked with pulling structured information from 10,000 legal contracts. It successfully processes 9,847 contracts correctly. Of the remaining 153, it flags 142 as too ambiguous for automated processing and routes them to human review. Only 11 produce incorrect extractions without flagging uncertainty. This agent demonstrates high reliability not just because of its 98.5% success rate but because of its 99.9% rate of either succeeding or appropriately escalating.
How Signet addresses this
Reliability is the highest-weighted dimension in the Signet Score, accounting for 30% of the composite. Signet measures reliability across multiple factors: task completion rate, error handling quality, consistency over time, and appropriate escalation behavior. An agent's Reliability dimension score directly impacts its overall Signet Score more than any other single factor, reflecting the foundational importance of reliability to agent trust.
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