Enhance documentation for Azure Optimization Engine

docs-mslearn/TOC.yml

@@ -214,6 +214,8 @@
           href: toolkit/optimization-engine/faq.md
         - name: Troubleshooting guide
           href: toolkit/optimization-engine/troubleshooting.md
+        - name: Reference
+          href: toolkit/optimization-engine/reference.md
     - name: Open data
       href: toolkit/open-data.md
     - name: PowerShell

docs-mslearn/toolkit/changelog.md

@@ -3,7 +3,7 @@ title: FinOps toolkit changelog
 description: Review the latest features and enhancements in the FinOps toolkit, including updates to FinOps hubs, Power BI reports, and more.
 author: MSBrett
 ms.author: brettwil
-ms.date: 08/13/2026
+ms.date: 08/18/2026
 ms.topic: reference
 ms.service: finops
 ms.subservice: finops-toolkit
@@ -56,6 +56,8 @@ The following section lists features and enhancements that are currently in deve
 
 ### [Optimization Engine](optimization-engine/overview.md)
 
+- **Added**
+  - Added a comprehensive [Azure Optimization Engine reference](optimization-engine/reference.md) for runbooks, schedules, variables, Log Analytics tables, and SQL Database tables. ([#1271](https://github.com/microsoft/finops-toolkit/issues/1271))
 - **Changed**
   - Switched the reservations and benefits workbooks from the retired `ccmstorageprod` isfratioblob.csv to the FinOps toolkit [Instance size flexibility](open-data.md#instance-size-flexibility) open data file ([#2090](https://github.com/microsoft/finops-toolkit/issues/2090)).
 

docs-mslearn/toolkit/optimization-engine/customize.md

@@ -95,7 +95,7 @@ By default, AOE Automation runbooks are executed in the context of the Azure Aut
 
 ## Adjust thresholds
 
-For Advisor cost recommendations, the AOE's default configuration produces percentile 99th VM metrics aggregations, but you can adjust them to be less conservative. There are also adjustable metrics thresholds that are used to compute the fit score. The default thresholds values are 30% for CPU (5% for shutdown recommendations), 50% for memory (100% for shutdown) and 750 Mbps for network bandwidth (10 Mbps for shutdown). All the adjustable configurations are available as Azure Automation variables. The information in the next table highlights the most relevant configuration variables. To access them, go to the Automation Account _Shared Resources - Variables_ menu option.
+For Advisor cost recommendations, the AOE's default configuration produces percentile 99th VM metrics aggregations, but you can adjust them to be less conservative. There are also adjustable metrics thresholds that are used to compute the fit score. The default threshold values are 30% for CPU (5% for shutdown recommendations), 50% for memory (100% for shutdown) and 750 Mbps for network bandwidth (10 Mbps for shutdown). All the adjustable configurations are available as Azure Automation variables. The information in the next table highlights the most relevant configuration variables. To access them, go to the Automation Account _Shared Resources - Variables_ menu option. For a complete list of AOE variables, check [the reference](reference.md).
 
 | Variable                                                                  | Description                                                                                                                                                                                                                                                                               |
 | ------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |