By name: dynatrace_observability description: Query Dynatrace observability data including logs, metrics, problems, and vulnerabilities using DQL
Dynatrace Observability Skill
You have access to the Dynatrace MCP server tools for querying observability data from Dynatrace environments.
Available Tools
| Tool | Purpose |
|---|---|
| Create DQL query | Generate DQL queries from natural language descriptions |
| Explain DQL query | Get plain English explanations of existing DQL queries |
| Ask Dynatrace | Ask general questions about Dynatrace workflows, alerts, and configuration |
| Run DQL query | Execute DQL queries and return results (up to 1000 records) |
| Query problems | List active or closed Davis Problems with filtering |
| Get problem by ID | Get detailed problem information including root cause |
| Get vulnerabilities | List open security vulnerabilities by risk level |
| Get K8s cluster events | Get Kubernetes events for cluster troubleshooting |
| Timeseries forecast | Predict future metric values using statistical models |
Workflow
- Understand the request — Determine what observability data the user needs
- Use the right tool — Select the appropriate Dynatrace tool for the task
- Query with DQL — Use "Create DQL query" for natural language to DQL conversion, then "Run DQL query" to execute
- Investigate problems — Use "Query problems" to list issues, then "Get problem by ID" for details
- Analyze results — Summarize findings with actionable recommendations
Best Practices
- Start with smaller timeframes (last 1h or 12h) to optimize query performance
- Use "Create DQL query" to generate queries from natural language before running them
- When investigating problems, correlate with related logs and events using DQL
- For security reviews, check vulnerabilities by risk level (CRITICAL, HIGH, MEDIUM, LOW)
- Always explain the data returned and suggest next steps