Jira Cloud provides a dedicated Automation REST API for finding and managing rules. To use it, you need valid authentication and the permissions required for the specific product and operation. When a rule stops or slows down, first check its audit log and identify whether the problem is access, a monthly usage cap, a per-execution service limit, or a trigger that never fired. Jira Data Center uses different, instance-local troubleshooting routes; its endpoints should not be substituted into Cloud API calls.
What the Jira Automation rules API does
Atlassian’s Jira Cloud Automation REST API provides rule-management operations across supported products. Its rule-management resource includes operations to:
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- List and search rule summaries, with cursor- and limit-based pagination.
- Create a rule using a rule payload and connections.
- Retrieve a rule by UUID, update it, or delete it when disabled.
- Enable or disable a rule by supplying a state value.
- Update a rule’s scope.
Use the live API reference for the current request schema and operation-specific restrictions before building a client. Cloud rule-management routes follow this pattern: https://api.atlassian.com/automation/public/{product}/{cloudid}/rest/v1/…. The product and Cloud ID must match the site and product you intend to manage.
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Authenticate, then check authorization
The Cloud API reference lists an API token or browser session cookies as authentication methods. Authentication proves who is making the request; it does not automatically grant permission to manage rules. Authorization is evaluated against the caller’s product permissions and the entities involved. Atlassian notes that many endpoints require site- or container-level administrator access, while other APIs check access to the particular object. Jira REST operations also require the applicable Jira permissions.
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Before troubleshooting a denied request, verify these items:
- The request uses the intended Atlassian site and its correct Cloud ID.
- The product path is the product where the rule belongs.
- The credential is valid and is being sent using the method required by the endpoint.
- The caller has the site, product, or object-level permission that the specific operation requires.
Jira Cloud’s mypermissions endpoint can help inspect a user’s Jira permissions. It is not a replacement for checking the Automation endpoint’s own authorization requirements.
Keep Cloud and Data Center routes separate
Jira Data Center Automation is administered within an instance and has its own behavior and endpoints. For example, Atlassian’s Data Center throttling guidance refers to /rest/cb-automation/latest/…. That is not the Cloud rule-management API. Use the route and instructions documented for the platform you actually run.
What Jira Automation limits mean
Jira Cloud has two different kinds of Automation limits. They affect rules differently, so identify which one appears in the audit log or usage information before changing a rule or plan.
| Limit type | What it measures | Typical sign | What happens |
|---|---|---|---|
| Monthly usage limit | Successful rule runs for the product during the month. A run counts once if it performs at least one action, regardless of how many actions it performs; a trigger that performs no action does not count. | The product’s usage page reports “monthly limit reached,” or rules across the product stop together. | Rules stop until the next monthly reset. |
| Service limit | A per-execution or capacity constraint, such as processing time, JQL result size, executions in a time window, queued work, or concurrent execution capacity. | An audit entry reports THROTTLED or names a processing-time, JQL-result, or executions-per-hour limit. |
An individual rule may be throttled or disabled. Concurrent work may wait rather than fail. |
Atlassian’s Cloud Automation service-limit documentation gives examples of action-specific constraints, including a Lookup work items action that uses the first 100 results and a 2,000-field limit for specified create or clone actions. These figures apply only to the documented actions and conditions; check the live documentation and plan context because limits and applicability can change.
Reduce service-limit pressure
For Cloud rules hitting service limits, Atlassian recommends narrowing JQL to relevant work items, avoiding unnecessarily frequent scheduled runs, and splitting a flow when it needs more steps. For a large, one-off change affecting thousands of work items, the guidance recommends Jira bulk change rather than relying on an Automation rule to process the entire change.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why a rule is throttled, slow, or not triggering
Cloud: a rule is throttled
- Open the rule’s audit log and read the status and error text.
- If the message identifies a processing, JQL-result, or execution-rate constraint, treat it as a service-limit issue. Narrow the query, reduce schedule frequency where practical, or split the flow. Use Jira bulk change for a large one-off edit.
- If the usage page says the monthly limit has been reached or rules across the product stopped together, treat it as monthly usage exhaustion rather than a single-rule service problem.
These categories are described in Atlassian’s Cloud limits guidance. They call for different responses: changing one rule’s design will not restore a product that has exhausted its monthly allowance.
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Data Center: a rule is throttled
For Data Center, Atlassian’s throttling support guidance asks administrators to collect audit-log evidence and Performance Insights graphs. It also identifies GET /rest/cb-automation/latest/configuration/property as a route for collecting service-limit configuration. This is an instance-local Data Center diagnostic endpoint, not a Cloud rule-management route.
A rule is slow
Check the audit log for execution details. Where available, export those details to JSON to inspect component results and locate the slow part of the rule. Review its design and JQL; for Data Center, also investigate queueing and database performance. Atlassian’s slow-execution guidance covers both Cloud and Data Center. For Data Center instances where CPU is not high, it mentions automation.processing.thread.pool.size.per.node as a possible tuning point and advises increasing it in small steps. Treat this as a targeted administrator adjustment, not a general Cloud fix.
A trigger did not create an audit record (Data Center)
If an expected event has no trigger record, Atlassian’s Data Center missed-trigger guidance recommends checking whether the rule is enabled. If another rule caused the event, check whether “Allow rule trigger” is enabled. In a Data Center cluster, confirm Automation for Jira is enabled across nodes. An absent trigger record is different from a rule that triggered and was later skipped or failed; use the audit log to distinguish them.
An Unknown Fields error occurs (Cloud)
Check that the field exists in the relevant project and issue-type context and is available on the applicable create or edit screen. Invalid JSON or an unexpected REST field format can also cause the error. Validate the payload against the Jira create or edit endpoint before using it in Automation.
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You need an API call that is not a built-in action
Atlassian documents the Send web request action as a way to call a REST API from an Automation rule. The target API still determines the required credentials, permissions, HTTP method, and payload. Do not assume every REST operation is available as a first-party Automation action.
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