---
schema_version: "1"
id: e91d360e48c59f502e10e68d1e4f497934605b8b98879c94763c1da40b82677b
title: Validate Metadata Entities in the Metadata Studio
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ai/264-0-0/generative_ai_prism_metadata_studio_validate.md
canonical_url: https://help.salesforce.com/s/articleView?id=ai.generative_ai_prism_metadata_studio_validate.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: d018f015a4f7271a01ade6c4da3dca69f20056e4a70639f9ebaa8ca6e1d378c6
description: To improve your Einstein results in Data Prism integrated apps, validate an object or field label, by adding or editing an entity description. Standard objects and fields with a description are automatically imported from Salesforce documentation and they’re marked as validated. You can still edit them if you have additional information that’s relevant.
products:
  - Agentforce
  - Cross Cloud
release: "264"
---
# Validate Metadata Entities in the Metadata Studio

To improve your Einstein results in Data Prism integrated apps, validate an object or field label, by adding or editing an entity description. Standard objects and fields with a description are automatically imported from Salesforce documentation and they’re marked as validated. You can still edit them if you have additional information that’s relevant.

### Required Editions

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ai-generative_ai-264-0-0-production-enus/f8ef6498-d7b2-44e3-9b34-ffd5a850aae9/images/icon_note.png)

Note Prism and Metadata Studio aren’t supported in Government Cloud Plus. Don’t turn on the feature in Government Cloud Plus orgs. Contact your Salesforce account executive for more details.

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: Lightning Experience</td></tr><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>Enterprise</strong>, <strong>Performance</strong>, <strong>Unlimited</strong>, and <strong>Developer</strong> Editions with Foundations, or <strong>Agentforce 1</strong> or <strong>Einstein 1</strong> Editions</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
          <col style="width:50%">
          <col style="width:50%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d106864e70">User Permissions Needed</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d106864e70 ">To review metadata:</td>
            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d106864e70 ">
              <p>Metadata Studio User</p>
              <p>OR</p>
              <p style="margin-bottom:0;">Modify All Data</p>
            </td>
          </tr>
        </tbody>
      </table>

Custom objects and field descriptions are automatically imported or generated using sample data and Large Language Models (LLMs) via the Salesforce LLM gateway, which uses Salesforce’s trust layer including PII detection. For more information about PII masking, see [Data Masking](https://help.salesforce.com/s/articleView?id=ai.generative_ai_mask_data.htm&release=264.0.0&type=5 "The Einstein Trust Layer identifies and masks sensitive information in the prompts before sending them to the large language model (LLM). The Einstein Trust Layer uses data masking to protect sensitive data such as personally identifiable information (PII) from being exposed to external LLMs.").

You can focus on specific metadata by selecting a data source or relevant dataspace depending on your purchased products. If you have Data Cloud all available dataspaces appear.

To validate metadata entities:

1. From the App Launcher, select **Metadata Studio**
2. Select the required data source (if you have Data Cloud, all relevant dataspaces appear. If you have a Core App, the Core org appears.). You can only select one data source at a time, but you can validate the metadata for all your data sources if necessary. If a description is missing during the scan process, an automatically generated description appears in the Metadata Studio (All generated descriptions appear in light blue, indicating they were generated by generative AI).
3. Review the generated description, and edit it if more information is needed.
    
    ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ai-generative_ai-264-0-0-production-enus/f8ef6498-d7b2-44e3-9b34-ffd5a850aae9/images/icon_note.png)
    
    Note It takes up to 15 minutes for changes made to descriptions to take effect.
4. To validate, select the dropdown and then select **Validate**.
5. If you want to validate more than one entity, select all the entities you’re validating and then on the top right, click **Validate**.