Skip to main content
Evaluator last updated August 27, 2026.

Overview

The Purpose Clarity evaluator assesses how clearly a text communicates its central purpose – whether it is to inform, persuade, explain, describe, or entertain. The evaluator analyzes whether a text’s intent is explicitly stated, indirectly hinted at, or masked (e.g., text may present as neutral information, but be building a persuasive argument).

At a glance

The evaluator was built and validated using the model and temperature below (other configurations will produce different results and may have lower accuracy):

Getting started

Follow the Quickstart to start using this evaluator:

Inputs

Output

Interpreting results

High or low complexity scores are not inherently good or bad. A higher complexity score simply indicates a text that requires more interpretation by readers.
Example: A “Very complex” or “Exceedingly complex” text may be ideal if the instructional goal is identifying implicit or persuasive intent. However, that same text may not be a good fit if the instructional goal is content comprehension.

Evaluator release history

Literacy evaluators

Explore other evaluators that assess qualitative text complexity.

Literacy dataset

Explore the expert-annotated benchmark behind literacy evaluators.

Quickstart

Run an evaluator in the Evaluators playground, a Python notebook, or with the SDK.