- Getting started
- UiPath Agents in Studio Web
- UiPath Coded agents
Agents user guide
Agent score
The Agent score is an objective score used to identify areas where an agent needs optimization or additional training.
The score is based on a set of UiPath® Agents building best practices. For details, refer to the Best practices section.
Agent score is a preview feature.
Using the Agent score
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Select Open health score from the right-side panel to view your agent's score. Individual scores are available for each agent component: the prompt, the tools, the input schema, and the evaluation.
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Select a component to view a detailed breakdown of how the score was calculated.
Figure 1. How the agent score is calculated for the agent tools
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For each component, select Help me improve this score to use Autopilot capabilities for suggestions.
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Select Recalculate to run the analysis again.
Agent score requirements may be defined by an Automation Ops governance policy. For details, refer to Settings for Studio Web Policies.
Scoring system
The score considers the following elements:
- Prompt structure, purpose, length
- Tool, context, human in the loop usage
- Input/output arguments
- Evaluation sets
- Evaluation score
Each component is examined from multiple perspectives and combined into a single weighted score. The analysis runs in parallel, using LLMs (both completions and embeddings) with automatic retry mechanisms to handle rate limits.
For each component, you receive:
- A score from 0-100
- A detailed justification highlighting improvement areas
The final score report provides:
- A weighted average of all component scores
- Token usage and LLM call tracking
- An AI-generated summary explaining the overall score and key findings
