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Automate the management of issue watchers
The Add or remove watcher post function enables automatic management of issue watchers during workflow transitions. This feature ensures that the appropriate team members are notified or removed from the notification loop as necessary, streamlining communication and improving project oversight.
Restructured “Get Started” Page
The updated “Get Started” page now offers a more intuitive layout and clearer instructions, helping users navigate and utilize the app more effectively. This enhancement aims to streamline the onboarding process, making it easier for new users to get up to speed with Jira Workflow Toolbox’s features and functionalities.
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Expanded Custom Field Support for Jira Service Management
The number of supported custom fields for Jira Service Management has been expanded, enabling seamless read and write access with the Jira Workflow Toolbox. This feature improves workflow customization and data handling. The newly supported fields are:
Assets objects
Organizations
Request participants
Request type
Team
New Parser Functions for Easier Data Access in Jira Service Management
New parser functions are now available for Jira Service Management, making accessing information related to groups, organizations, and asset objects easier. These new functions streamline workflow automation and improve data retrieval. The newly provided parser functions are:
getNameFromAsset() - Obtain the names of asset objects
getAttributeFromAsset() - Access specific attributes from asset object
getAssetsFromAQL() - Query and retrieve asset objects using AQL (Assets Query Language)
groupName() - Retrieve the name of a user group
organizationId() - Fetch the organization ID
usersInOrganization() - Identify all customers associated with an organization
Fix for Expression Editor Auto-Complete Issue
The auto-complete functionality in the JWT expression editor was failing to show the searchable list of JWT JWT expression parser functions and available field codes when pressing <CTRL> + <space>. This issue has been resolved, and users will now see the correct auto-complete suggestions as expected, improving the usability and efficiency of the expression editor.
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