fix issues from PR review

Author: Craig Shoemaker

articles/sre-agent/agent-playground.md

@@ -24,7 +24,7 @@ Without a dedicated testing environment, you deploy changes to see how they beha
 
 The playground is a dedicated view in the **Agent Canvas** alongside Canvas and Table views. Select **Test playground** from the view toggle to enter a split-screen environment where you edit and test.
 
-:::image type="content" source="media/common/playground-agent-selected.png" alt-text="Screenshot of agent playground showing split-screen layout with form editor on left and chat test panel on right.":::
+:::image type="content" source="media/common/playground-agent-selected.png" alt-text="Screenshot of agent playground showing split-screen layout with form editor on left and chat test panel on right." lightbox="media/common/playground-agent-selected.png":::
 
 ### Select what to test
 
@@ -37,7 +37,7 @@ Use the **Custom agent/Tool** dropdown at the top to choose what to test.
 | **System tool** | Execute built-in tools with custom parameters |
 | **Kusto tool** | Run queries against your connected clusters |
 
-:::image type="content" source="media/common/playground-entity-selector.png" alt-text="Screenshot of entity selector dropdown showing custom agents and tools available for testing.":::
+:::image type="content" source="media/common/playground-entity-selector.png" alt-text="Screenshot of entity selector dropdown showing custom agents and tools available for testing." lightbox="media/common/playground-entity-selector.png":::
 
 ### Edit and test side by side
 

articles/sre-agent/agent-reasoning.md

@@ -18,7 +18,7 @@ Your agent reasons through problems rather than following scripts. Because it bu
 
 Every message you send goes through the same loop.
 
-:::image type="content" source="media/agent-reasoning/agent-reasoning-flow.svg" alt-text="A screenshot of Agent reasoning flow: understand request, gather context, reason, then act or respond. Loops up to 10 times.":::
+:::image type="content" source="media/agent-reasoning/agent-reasoning-flow.svg" alt-text="A screenshot of Agent reasoning flow: understand request, gather context, reason, then act or respond. Loops up to 10 times." lightbox="media/agent-reasoning/agent-reasoning-flow.svg":::
 
 The agent first **understands** your request and identifies what data it needs. Then it **gathers context** by querying data sources in parallel (logs, metrics, resource status, deployment history, [memory](memory.md)). Next it **reasons** over the gathered data, identifying patterns and forming conclusions. Finally it **acts or responds** by executing safe actions, requesting approval for risky ones, or presenting findings.
 
@@ -28,7 +28,7 @@ If the problem requires more work, the loop iterates up to 10 times per turn. Af
 
 For complex problems, your agent shows its reasoning process in the chat. A collapsible **Thinking** section appears with descriptive titles for each step (like "Exploring Azure health issues" or "Analyzing active alerts") and elapsed time.
 
-:::image type="content" source="media/agent-reasoning/thinking-accordion-active.png" alt-text="Screenshot of adaptive thinking showing reasoning step.":::
+:::image type="content" source="media/agent-reasoning/thinking-accordion-active.png" alt-text="Screenshot of adaptive thinking showing reasoning step." lightbox="media/agent-reasoning/thinking-accordion-active.png":::
 
 Your agent automatically adjusts reasoning depth. A status check gets a quick response. A multistep outage gets multistep reasoning with evidence correlation.
 

articles/sre-agent/deep-investigation.md

@@ -39,11 +39,11 @@ Here’s an example:
 
 To enable deep investigation in your chat, select the deep investigation (:::image type="icon" source="media/deep-investigation/sre-agent-deep-investigation-icon.png" border="false":::) icon in your chat before submitting your query.
 
-:::image type="content" source="media/deep-investigation/sre-agent-chat-window-deep-investigation.png" alt-text="Screenshot of Azure SRE Agent highlighting the deep investigation button.":::
+:::image type="content" source="media/deep-investigation/sre-agent-chat-window-deep-investigation.png" alt-text="Screenshot of Azure SRE Agent highlighting the deep investigation button." lightbox="media/deep-investigation/sre-agent-chat-window-deep-investigation.png":::
 
 When you submit a query with deep investigation enabled, an authorization card appears in the chat. Select **Yes** to approve the investigation, or **No** to cancel.
 
-:::image type="content" source="media/common/deep-investigation-working.png" alt-text="Authorization prompt showing the investigation card, approval message, and Yes and No buttons." lightbox="media/common/deep-investigation-working.png":::
+:::image type="content" source="media/common/deep-investigation-working.png" alt-text="Screenshot of the authorization prompt showing the investigation card, approval message, and Yes and No buttons." lightbox="media/common/deep-investigation-working.png":::
 
 ## Get started
 

articles/sre-agent/memory.md

@@ -159,7 +159,7 @@ The agent responds based on the saved memory: "Database failover takes approxima
 
 Upload your documentation and connect external sources to give your agent a broader reference library.
 
-:::image type="content" source="media/memory/knowledge-sources.svg" alt-text="Diagram showing knowledge coming from uploaded documents and MCP connectors, all searchable together.":::
+:::image type="content" source="media/memory/knowledge-sources.svg" alt-text="Diagram showing knowledge coming from uploaded documents and MCP connectors, all searchable together." lightbox="media/memory/knowledge-sources.svg":::
 
 ### Upload documents
 

articles/sre-agent/run-modes.md

@@ -21,7 +21,7 @@ Run modes control whether your agent **asks for approval** before taking actions
 
 ## Two modes
 
-:::image type="content" source="media/run-modes/run-modes-comparison.svg" alt-text="Screenshot of a comparison of review mode where the agent proposes and the user decides versus autonomous mode where the agent executes immediately.":::
+:::image type="content" source="media/run-modes/run-modes-comparison.svg" alt-text="Screenshot of a comparison of review mode where the agent proposes and the user decides versus autonomous mode where the agent executes immediately." lightbox="media/run-modes/run-modes-comparison.svg":::
 
 The following table summarizes the two available modes:
 
@@ -73,7 +73,7 @@ Set run modes **per [response plan](response-plan.md) and per [scheduled task](s
 
 Set the **Agent autonomy level** when you create or edit a response plan or task:
 
-:::image type="content" source="media/run-modes/portal-trigger-review-autonomous-modes.png" alt-text="Edit incident trigger dialog showing Agent autonomy level with Autonomous and Review options.":::
+:::image type="content" source="media/run-modes/portal-trigger-review-autonomous-modes.png" alt-text="Edit incident trigger dialog showing Agent autonomy level with Autonomous and Review options." lightbox="media/run-modes/portal-trigger-review-autonomous-modes.png":::
 
 ### Agent-level default
 

articles/sre-agent/skills.md

@@ -18,7 +18,7 @@ Skills extend your agent with procedures and execution capabilities. You can add
 
 You can also upload knowledge documents such as runbooks, architecture guides, and reference material to build a knowledge base that your agent searches automatically. For more information, see [Memory and knowledge](memory.md).
 
-:::image type="content" source="media/skills/custom-skill-flow.svg" alt-text="Flow showing agent using custom skill with attached tools." border="false":::
+:::image type="content" source="media/skills/custom-skill-flow.svg" alt-text="Flow showing agent using custom skill with attached tools." border="false" lightbox="media/skills/custom-skill-flow.svg":::
 
 ## Skills, custom agents, and knowledge files
 
@@ -74,7 +74,7 @@ Skills turn your agent from a general assistant into a team member who knows how
 
 Create skills in **Builder > Skills**. A skill includes a `SKILL.md` file with procedural guidance and optional tool attachments for execution.
 
-:::image type="content" source="media/skills/portal-create-skill.png" alt-text="Screenshot of create skill dialog in the portal.":::
+:::image type="content" source="media/skills/portal-create-skill.png" alt-text="Screenshot of create skill dialog in the portal." lightbox="media/skills/portal-create-skill.png":::
 
 The following example shows a typical skill structure:
 

articles/sre-agent/sub-agents.md

@@ -198,7 +198,7 @@ Test custom agents in the **Test playground** before deploying. Go to **Builder*
 
 For VS Code users, the SRE Agent MCP server extension lets you edit custom agent YAML in your editor with changes syncing to your agent.
 
-:::image type="content" source="media/common/playground-agent-selected.png" alt-text="Screenshot of agent playground with split-screen editor and chat test panel.":::
+:::image type="content" source="media/common/playground-agent-selected.png" alt-text="Screenshot of agent playground with split-screen editor and chat test panel." lightbox="media/common/playground-agent-selected.png":::
 
 For full details, see [Agent playground](agent-playground.md).
 

articles/sre-agent/test-tool-playground.md

@@ -39,7 +39,7 @@ Go to the test playground in the Agent Canvas.
 1. Select **Builder** > **Agent Canvas**.
 1. Select **Test playground** in the view toggle (next to **Canvas view** and **Table view**).
 
-:::image type="content" source="media/test-tool-in-playground/playground-empty-state.png" alt-text="Screenshot of test playground view with empty state and Custom agent/Tool selector at the top.":::
+:::image type="content" source="media/test-tool-in-playground/playground-empty-state.png" alt-text="Screenshot of test playground view with empty state and Custom agent/Tool selector at the top." lightbox="media/test-tool-in-playground/playground-empty-state.png":::
 
 The playground shows an empty state with a **Custom agent/Tool** selector at the top and the message "Select an agent or tool to start a playground session."
 
@@ -52,7 +52,7 @@ Choose the tool you want to test from the entity selector.
 1. Select the tool you want to test.
 1. Select **Apply**.
 
-:::image type="content" source="media/common/playground-entity-selector.png" alt-text="Screenshot of entity selector dropdown showing agents and tools available for testing.":::
+:::image type="content" source="media/common/playground-entity-selector.png" alt-text="Screenshot of entity selector dropdown showing agents and tools available for testing." lightbox="media/common/playground-entity-selector.png":::
 
 The playground loads the selected tool's configuration and test interface.
 

articles/sre-agent/workflow-automation.md

@@ -24,7 +24,7 @@ Operational workflows span multiple tools and require someone to remember what c
 
 ## How workflow automation works
 
-:::image type="content" source="media/workflow-automation/subagent-builder-canvas-configured.png" alt-text="Agent Canvas showing configured workflow":::
+:::image type="content" source="media/workflow-automation/subagent-builder-canvas-configured.png" alt-text="Screenshot of the Agent Canvas showing a configured workflow." lightbox="media/workflow-automation/subagent-builder-canvas-configured.png":::
 
 By using workflow automation, you can achieve the following goals: