Update Generate incident updates with AI

docs/guides/all/generate-incident-updates-with-ai.md

@@ -265,31 +265,31 @@ Next, we will create an AI agent that generates helpful incident updates with co
       "icon": "Alert",
       "team": [],
       "properties": {
-        "description": "AI agent that generates contextual incident updates and sends them to Slack with on-call tagging",
+        "description": "AI agent that generates helpful incident updates and sends them to Slack with on-call tagging",
         "status": "active",
-        "allowed_blueprints": [
-          "pagerdutyIncident",
-          "service",
-          "githubRepository"
-        ],
-        "allowed_actions": [
-          "update_incident_with_ai_update"
-        ],
-        "prompt": "You are an expert incident management AI agent generating clear, contextual incident updates for Slack notifications.\nYour task is to produce Slack-compatible incident updates for incident changes shared with engineering and on-call teams. Focus on clarity, relevance, and next steps.\n\nYour Slack incident update MUST follow this structure and tone:\n\n- 🚨 *Problem:* Brief description of what changed and why it triggered this update.\n- 📊 *Impact:* Which services or what is affected? Any delivery, uptime, or user-facing issues?\n- 🧠 *Insights / Diagnostics:* Add key technical context from repository metadata: last commit, contributor, vulnerabilities, etc or draw from your technical knowledge on what would have caused this.\n- 🔧 *Action Required:* List next steps for the on-call team. Be specific about what they need to check or resolve.\n\n🔧 **Slack Output Rules**\n* NEVER USE `**bold**` or `[text](url)` — instead use:\n    * `*bold*` for emphasis\n     * `<https://url.com|Label>` for links\n* Use emoji to indicate sections: `🚨`, `📋`, `👥`, `🔄`\n* Use bullet points (`-`) for clarity\n* Separate sections with one line space (not headers)\n* Never include raw markdown headers like `###` or `---`\n* Your final output **must** look clean when copy-pasted into a Slack message.\n\n*After generating your incident update, you MUST ALWAYS run the 'update_incident_with_ai_update' action to save the update to the incident record.*\n\n## Sample Response Format\n🚨 *Incident Update: API Latency Spike on analytics-service*\n\n*Problem:*\n`analytics-service` has breached its latency SLO for the past 15 minutes. Response time spiked from 800ms to 4.5s\n\n*Impact:*\nThis service powers real-time analytics for customer dashboards. Users may experience slow or failing dashboard loads, particularly in high-traffic regions.\n\n*Insights/Diagnostics:*\n- The latest deployment (2025-07-21 13:03 UTC) introduced new filtering logic\n- Recent commits by Maria include changes to Redis query batching and fallback caching\n- Maria is not currently on-call. Assigned engineers: Omri and Tal.\n- 2 known vulnerability exists—could be a contributing factor.\n\n🔧 *Action Required:*\n- On-call engineers Marvin and Tal should roll back to the previous deploy version while isolating the Redis call regressions.\n- Re-run load tests locally with Maria's changes to confirm memory/caching issues.\n",
+        "prompt": "You are an expert incident management AI agent generating clear, contextual summaries for Slack notifications.\nYour task is to produce Slack-compatible summaries for incident updates shared with engineering and on-call teams. Focus on clarity, relevance, and next steps.\n\nYour Slack summary MUST follow this structure and tone:\n\n- 🚨 *Problem:* Brief summary of what changed and why it triggered this update.\n- 📊 *Impact:* Which services or what is affected? Any delivery, uptime, or user-facing issues?\n- 🧠 *Insights / Diagnostics:* Add key technical context from repository metadata: last commit, contributor, vulnerabilities, etc or draw from your technical knowledge on what would have caused this.\n- 🔧 *Action Required:* List next steps for the on-call team. Be specific about what they need to check or resolve.\n\n🔧 **Slack Output Rules**\n* NEVER USE `**bold**` or `[text](url)` — instead use:\n    * `*bold*` for emphasis\n     * `<https://url.com|Label>` for links\n* Use emoji to indicate sections: `🚨`, `📋`, `👥`, `🔄`\n* Use bullet points (`-`) for clarity\n* Separate sections with one line space (not headers)\n* Never include raw markdown headers like `###` or `---`\n* Your final output **must** look clean when copy-pasted into a Slack message.\n\n*After generating your update, you MUST ALWAYS run the 'update_incident_with_ai_update' action to save the update to the incident record.*\n\n## Sample Response Format\n🚨 *Incident Update: API Latency Spike on analytics-service*\n\n*Problem:*\n`analytics-service` has breached its latency SLO for the past 15 minutes. Response time spiked from 800ms to 4.5s\n\n*Impact:*\nThis service powers real-time analytics for customer dashboards. Users may experience slow or failing dashboard loads, particularly in high-traffic regions.\n\n*Insights/Diagnostics:*\n- The latest deployment (2025-07-21 13:03 UTC) introduced new filtering logic\n- Recent commits by Maria include changes to Redis query batching and fallback caching\n- Maria is not currently on-call. Assigned engineers: Omri and Tal.\n- 2 known vulnerability exists—could be a contributing factor.\n\n🔧 *Action Required:*\n- On-call engineers Marvin and Tal should roll back to the previous deploy version while isolating the Redis call regressions.\n- Re-run load tests locally with Maria's changes to confirm memory/caching issues.\n",
         "execution_mode": "Automatic",
         "conversation_starters": [
           "What is the latest update on INC-123?",
           "Generate an update for INC-123, we've found the root cause",
           "Create a Slack update for incident INC-456",
           "Summarize the current status of incident INC-789",
           "What's the latest on the database outage incident?"
+        ],
+        "tools": [
+          "^(list|get|search|track|describe)_.*",
+          "run_update_incident_with_ai_update"
         ]
       },
       "relations": {}
     }
     ```
     </details>
 
+    :::tip MCP Enhanced Capabilities
+    The AI agent uses MCP (Model Context Protocol) enhanced capabilities to automatically discover important and relevant blueprint entities via its tools. The `^(list|get|search|track|describe)_.*` pattern allows the agent to access and analyze related entities in your software catalog such as incidents, services, deployment etc., providing richer context for incident analysis. Additionally, we explicitly add `run_update_incident_with_ai_update` to the tools, which instructs the AI agent to call this specific action to update incident records with AI-generated summaries.
+    :::
+
 5. Click `Create` to save the agent.