All evals
Retool

Eval directory

Evals for Retool

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Retool AI products.

Search & Knowledge
Use evals for Retool

About Retool

Retool is a platform for building internal tools fast — drag-and-drop UI bound to queries across databases and APIs, with role-based access control, audit logs, workflows, and self-hosted deployment for regulated environments.

Employees

~600

Industry

Internal Tooling

Headquarters

San Francisco, CA

Website

retool.com
60/ 100
CDeveloping coverage

How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.

Test datasets

8/8 packs

Scoring metrics

0/8 packs

Judge rubrics

8/8 packs

Use-case maps

0/8 packs

Pack context

8/8 packs

Test datasetsStrong100%
Scoring metricsLimited0%
Judge rubricsStrong100%
Use-case mapsLimited0%
Pack contextStrong100%

Available eval packs for Retool

8 packs ready to run.

Why eval Retool AI

Retool's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Retool measures four dimensions teams care about most when deploying search & knowledge agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Retool's public product surface and runnable in Corsac with your own data.