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datadog-automation

Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.

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Git git clone https://github.com/davepoon/buildwithclaude.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole davepoon/buildwithclaude collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Datadog Automation via Rube MCP

Automate Datadog monitoring and observability operations through Composio's Datadog toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/datadog

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Datadog connection via RUBE_MANAGE_CONNECTIONS with toolkit datadog
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit datadog
  3. If connection is not ACTIVE, follow the returned auth link to complete Datadog authentication
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Query and Explore Metrics

When to use: User wants to query metric data or list available metrics

Tool sequence:

  1. DATADOG_LIST_METRICS - List available metric names [Optional]
  2. DATADOG_QUERY_METRICS - Query metric time series data [Required]

Key parameters:

  • query: Datadog metric query string (e.g., avg:system.cpu.user{host:web01})
  • from: Start timestamp (Unix epoch seconds)
  • to: End timestamp (Unix epoch seconds)
  • q: Search string for listing metrics

Pitfalls:

  • Query syntax follows Datadog's metric query format: aggregation:metric_name{tag_filters}
  • from and to are Unix epoch timestamps in seconds, not milliseconds
  • Valid aggregations: avg, sum, min, max, count
  • Tag filters use curly braces: {host:web01,env:prod}
  • Time range should not exceed Datadog's retention limits for the metric type

2. Search and Analyze Logs

When to use: User wants to search log entries or list log indexes

Tool sequence:

  1. DATADOG_LIST_LOG_INDEXES - List available log indexes [Optional]
  2. DATADOG_SEARCH_LOGS - Search logs with query and filters [Required]

Key parameters:

  • query: Log search query using Datadog log query syntax
  • from: Start time (ISO 8601 or Unix timestamp)
  • to: End time (ISO 8601 or Unix timestamp)
  • sort: Sort order ('asc' or 'desc')
  • limit: Number of log entries to return

Pitfalls:

  • Log queries use Datadog's log search syntax: service:web status:error
  • Search is limited to retained logs within the configured retention period
  • Large result sets require pagination; check for cursor/page tokens
  • Log indexes control routing and retention; filter by index if known

3. Manage Monitors

When to use: User wants to create, update, mute, or inspect monitors

Tool sequence:

  1. DATADOG_LIST_MONITORS - List all monitors with filters [Required]
  2. DATADOG_GET_MONITOR - Get specific monitor details [Optional]
  3. DATADOG_CREATE_MONITOR - Create a new monitor [Optional]
  4. DATADOG_UPDATE_MONITOR - Update monitor configuration [Optional]
  5. DATADOG_MUTE_MONITOR - Silence a monitor temporarily [Optional]
  6. DATADOG_UNMUTE_MONITOR - Re-enable a muted monitor [Optional]

Key parameters:

  • monitor_id: Numeric monitor ID
  • name: Monitor display name
  • type: Monitor type ('metric alert', 'service check', 'log alert', 'query alert', etc.)
  • query: Monitor query defining the alert condition
  • message: Notification message with @mentions
  • tags: Array of tag strings
  • thresholds: Alert threshold values (critical, warning, ok)

Pitfalls:

  • Monitor type must match the query type; mismatches cause creation failures
  • message supports @mentions for notifications (e.g., @slack-channel, @pagerduty)
  • Thresholds vary by monitor type; metric monitors need critical at minimum
  • Muting a monitor suppresses notifications but the monitor still evaluates
  • Monitor IDs are numeric integers

4. Manage Dashboards

When to use: User wants to list, view, update, or delete dashboards

Tool sequence:

  1. DATADOG_LIST_DASHBOARDS - List all dashboards [Required]
  2. DATADOG_GET_DASHBOARD - Get full dashboard definition [Optional]
  3. DATADOG_UPDATE_DASHBOARD - Update dashboard layout or widgets [Optional]
  4. DATADOG_DELETE_DASHBOARD - Remove a dashboard (irreversible) [Optional]

Key parameters:

  • dashboard_id: Dashboard identifier string
  • title: Dashboard title
  • layout_type: 'ordered' (grid) or 'free' (freeform positioning)
  • widgets: Array of widget definition objects
  • description: Dashboard description

Pitfalls:

  • Dashboard IDs are alphanumeric strings (e.g., 'abc-def-ghi'), not numeric
  • layout_type cannot be changed after creation; must recreate the dashboard
  • Widget definitions are complex nested objects; get existing dashboard first to understand structure
  • DELETE is permanent; there is no undo

5. Create Events and Manage Downtimes

When to use: User wants to post events or schedule maintenance downtimes

Tool sequence:

  1. DATADOG_LIST_EVENTS - List existing events [Optional]
  2. DATADOG_CREATE_EVENT - Post a new event [Required]
  3. DATADOG_CREATE_DOWNTIME - Schedule a maintenance downtime [Optional]

Key parameters for events:

  • title: Event title
  • text: Event body text (supports markdown)
  • alert_type: Event severity ('error', 'warning', 'info', 'success')
  • tags: Array of tag strings

Key parameters for downtimes:

  • scope: Tag scope for the downtime (e.g., host:web01)
  • start: Start time (Unix epoch)
  • end: End time (Unix epoch; omit for indefinite)
  • message: Downtime description
  • monitor_id: Specific monitor to downtime (optional, omit for scope-based)

Pitfalls:

  • Event text supports Datadog's markdown format including @mentions
  • Downtimes scope uses tag syntax: host:web01, env:staging
  • Omitting end creates an indefinite downtime; always set an end time for maintenance
  • Downtime monitor_id narrows to a single monitor; scope applies to all matching monitors

6. Manage Hosts and Traces

When to use: User wants to list infrastructure hosts or inspect distributed traces

Tool sequence:

  1. DATADOG_LIST_HOSTS - List all reporting hosts [Required]
  2. DATADOG_GET_TRACE_BY_ID - Get a specific distributed trace [Optional]

Key parameters:

  • filter: Host search filter string
  • sort_field: Sort hosts by field (e.g., 'name', 'apps', 'cpu')
  • sort_dir: Sort direction ('asc' or 'desc')
  • trace_id: Distributed trace ID for trace lookup

Pitfalls:

  • Host list includes all hosts reporting to Datadog within the retention window
  • Trace IDs are long numeric strings; ensure exact match
  • Hosts that stop reporting are retained for a configured period before removal

Common Patterns

Monitor Query Syntax

Metric alerts:

avg(last_5m):avg:system.cpu.user{env:prod} > 90

Log alerts:

logs("service:web status:error").index("main").rollup("count").last("5m") > 10

Tag Filtering

  • Tags use key:value format: host:web01, env:prod, service:api
  • Multiple tags: {host:web01,env:prod} (AND logic)
  • Wildcard: host:web*

Pagination

  • Use page and page_size or offset-based pagination depending on endpoint
  • Check response for total count to determine if more pages exist
  • Continue until all results are retrieved

Known Pitfalls

Timestamps:

  • Most endpoints use Unix epoch seconds (not milliseconds)
  • Some endpoints accept ISO 8601; check tool schema
  • Time ranges should be reasonable (not years of data)

Query Syntax:

  • Metric queries: aggregation:metric{tags}
  • Log queries: field:value pairs
  • Monitor queries vary by type; check Datadog documentation

Rate Limits:

  • Datadog API has per-endpoint rate limits
  • Implement backoff on 429 responses
  • Batch operations where possible

Quick Reference

Task Tool Slug Key Params
Query metrics DATADOG_QUERY_METRICS query, from, to
List metrics DATADOG_LIST_METRICS q
Search logs DATADOG_SEARCH_LOGS query, from, to, limit
List log indexes DATADOG_LIST_LOG_INDEXES (none)
List monitors DATADOG_LIST_MONITORS tags
Get monitor DATADOG_GET_MONITOR monitor_id
Create monitor DATADOG_CREATE_MONITOR name, type, query, message
Update monitor DATADOG_UPDATE_MONITOR monitor_id
Mute monitor DATADOG_MUTE_MONITOR monitor_id
Unmute monitor DATADOG_UNMUTE_MONITOR monitor_id
List dashboards DATADOG_LIST_DASHBOARDS (none)
Get dashboard DATADOG_GET_DASHBOARD dashboard_id
Update dashboard DATADOG_UPDATE_DASHBOARD dashboard_id, title, widgets
Delete dashboard DATADOG_DELETE_DASHBOARD dashboard_id
List events DATADOG_LIST_EVENTS start, end
Create event DATADOG_CREATE_EVENT title, text, alert_type
Create downtime DATADOG_CREATE_DOWNTIME scope, start, end
List hosts DATADOG_LIST_HOSTS filter, sort_field
Get trace DATADOG_GET_TRACE_BY_ID trace_id

Powered by Composio

Files (buildwithclaude)
  • SKILL.md 9.2 KB
    ---
    name: datadog-automation
    description: "Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas."
    requires:
      mcp: [rube]
    category: observability
    ---
    
    # Datadog Automation via Rube MCP
    
    Automate Datadog monitoring and observability operations through Composio's Datadog toolkit via Rube MCP.
    
    **Toolkit docs**: [composio.dev/toolkits/datadog](https://composio.dev/toolkits/datadog)
    
    ## Prerequisites
    
    - Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
    - Active Datadog connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `datadog`
    - Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas
    
    ## Setup
    
    **Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
    
    
    1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
    2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `datadog`
    3. If connection is not ACTIVE, follow the returned auth link to complete Datadog authentication
    4. Confirm connection status shows ACTIVE before running any workflows
    
    ## Core Workflows
    
    ### 1. Query and Explore Metrics
    
    **When to use**: User wants to query metric data or list available metrics
    
    **Tool sequence**:
    1. `DATADOG_LIST_METRICS` - List available metric names [Optional]
    2. `DATADOG_QUERY_METRICS` - Query metric time series data [Required]
    
    **Key parameters**:
    - `query`: Datadog metric query string (e.g., `avg:system.cpu.user{host:web01}`)
    - `from`: Start timestamp (Unix epoch seconds)
    - `to`: End timestamp (Unix epoch seconds)
    - `q`: Search string for listing metrics
    
    **Pitfalls**:
    - Query syntax follows Datadog's metric query format: `aggregation:metric_name{tag_filters}`
    - `from` and `to` are Unix epoch timestamps in seconds, not milliseconds
    - Valid aggregations: `avg`, `sum`, `min`, `max`, `count`
    - Tag filters use curly braces: `{host:web01,env:prod}`
    - Time range should not exceed Datadog's retention limits for the metric type
    
    ### 2. Search and Analyze Logs
    
    **When to use**: User wants to search log entries or list log indexes
    
    **Tool sequence**:
    1. `DATADOG_LIST_LOG_INDEXES` - List available log indexes [Optional]
    2. `DATADOG_SEARCH_LOGS` - Search logs with query and filters [Required]
    
    **Key parameters**:
    - `query`: Log search query using Datadog log query syntax
    - `from`: Start time (ISO 8601 or Unix timestamp)
    - `to`: End time (ISO 8601 or Unix timestamp)
    - `sort`: Sort order ('asc' or 'desc')
    - `limit`: Number of log entries to return
    
    **Pitfalls**:
    - Log queries use Datadog's log search syntax: `service:web status:error`
    - Search is limited to retained logs within the configured retention period
    - Large result sets require pagination; check for cursor/page tokens
    - Log indexes control routing and retention; filter by index if known
    
    ### 3. Manage Monitors
    
    **When to use**: User wants to create, update, mute, or inspect monitors
    
    **Tool sequence**:
    1. `DATADOG_LIST_MONITORS` - List all monitors with filters [Required]
    2. `DATADOG_GET_MONITOR` - Get specific monitor details [Optional]
    3. `DATADOG_CREATE_MONITOR` - Create a new monitor [Optional]
    4. `DATADOG_UPDATE_MONITOR` - Update monitor configuration [Optional]
    5. `DATADOG_MUTE_MONITOR` - Silence a monitor temporarily [Optional]
    6. `DATADOG_UNMUTE_MONITOR` - Re-enable a muted monitor [Optional]
    
    **Key parameters**:
    - `monitor_id`: Numeric monitor ID
    - `name`: Monitor display name
    - `type`: Monitor type ('metric alert', 'service check', 'log alert', 'query alert', etc.)
    - `query`: Monitor query defining the alert condition
    - `message`: Notification message with @mentions
    - `tags`: Array of tag strings
    - `thresholds`: Alert threshold values (`critical`, `warning`, `ok`)
    
    **Pitfalls**:
    - Monitor `type` must match the query type; mismatches cause creation failures
    - `message` supports @mentions for notifications (e.g., `@slack-channel`, `@pagerduty`)
    - Thresholds vary by monitor type; metric monitors need `critical` at minimum
    - Muting a monitor suppresses notifications but the monitor still evaluates
    - Monitor IDs are numeric integers
    
    ### 4. Manage Dashboards
    
    **When to use**: User wants to list, view, update, or delete dashboards
    
    **Tool sequence**:
    1. `DATADOG_LIST_DASHBOARDS` - List all dashboards [Required]
    2. `DATADOG_GET_DASHBOARD` - Get full dashboard definition [Optional]
    3. `DATADOG_UPDATE_DASHBOARD` - Update dashboard layout or widgets [Optional]
    4. `DATADOG_DELETE_DASHBOARD` - Remove a dashboard (irreversible) [Optional]
    
    **Key parameters**:
    - `dashboard_id`: Dashboard identifier string
    - `title`: Dashboard title
    - `layout_type`: 'ordered' (grid) or 'free' (freeform positioning)
    - `widgets`: Array of widget definition objects
    - `description`: Dashboard description
    
    **Pitfalls**:
    - Dashboard IDs are alphanumeric strings (e.g., 'abc-def-ghi'), not numeric
    - `layout_type` cannot be changed after creation; must recreate the dashboard
    - Widget definitions are complex nested objects; get existing dashboard first to understand structure
    - DELETE is permanent; there is no undo
    
    ### 5. Create Events and Manage Downtimes
    
    **When to use**: User wants to post events or schedule maintenance downtimes
    
    **Tool sequence**:
    1. `DATADOG_LIST_EVENTS` - List existing events [Optional]
    2. `DATADOG_CREATE_EVENT` - Post a new event [Required]
    3. `DATADOG_CREATE_DOWNTIME` - Schedule a maintenance downtime [Optional]
    
    **Key parameters for events**:
    - `title`: Event title
    - `text`: Event body text (supports markdown)
    - `alert_type`: Event severity ('error', 'warning', 'info', 'success')
    - `tags`: Array of tag strings
    
    **Key parameters for downtimes**:
    - `scope`: Tag scope for the downtime (e.g., `host:web01`)
    - `start`: Start time (Unix epoch)
    - `end`: End time (Unix epoch; omit for indefinite)
    - `message`: Downtime description
    - `monitor_id`: Specific monitor to downtime (optional, omit for scope-based)
    
    **Pitfalls**:
    - Event `text` supports Datadog's markdown format including @mentions
    - Downtimes scope uses tag syntax: `host:web01`, `env:staging`
    - Omitting `end` creates an indefinite downtime; always set an end time for maintenance
    - Downtime `monitor_id` narrows to a single monitor; scope applies to all matching monitors
    
    ### 6. Manage Hosts and Traces
    
    **When to use**: User wants to list infrastructure hosts or inspect distributed traces
    
    **Tool sequence**:
    1. `DATADOG_LIST_HOSTS` - List all reporting hosts [Required]
    2. `DATADOG_GET_TRACE_BY_ID` - Get a specific distributed trace [Optional]
    
    **Key parameters**:
    - `filter`: Host search filter string
    - `sort_field`: Sort hosts by field (e.g., 'name', 'apps', 'cpu')
    - `sort_dir`: Sort direction ('asc' or 'desc')
    - `trace_id`: Distributed trace ID for trace lookup
    
    **Pitfalls**:
    - Host list includes all hosts reporting to Datadog within the retention window
    - Trace IDs are long numeric strings; ensure exact match
    - Hosts that stop reporting are retained for a configured period before removal
    
    ## Common Patterns
    
    ### Monitor Query Syntax
    
    **Metric alerts**:
    ```
    avg(last_5m):avg:system.cpu.user{env:prod} > 90
    ```
    
    **Log alerts**:
    ```
    logs("service:web status:error").index("main").rollup("count").last("5m") > 10
    ```
    
    ### Tag Filtering
    
    - Tags use `key:value` format: `host:web01`, `env:prod`, `service:api`
    - Multiple tags: `{host:web01,env:prod}` (AND logic)
    - Wildcard: `host:web*`
    
    ### Pagination
    
    - Use `page` and `page_size` or offset-based pagination depending on endpoint
    - Check response for total count to determine if more pages exist
    - Continue until all results are retrieved
    
    ## Known Pitfalls
    
    **Timestamps**:
    - Most endpoints use Unix epoch seconds (not milliseconds)
    - Some endpoints accept ISO 8601; check tool schema
    - Time ranges should be reasonable (not years of data)
    
    **Query Syntax**:
    - Metric queries: `aggregation:metric{tags}`
    - Log queries: `field:value` pairs
    - Monitor queries vary by type; check Datadog documentation
    
    **Rate Limits**:
    - Datadog API has per-endpoint rate limits
    - Implement backoff on 429 responses
    - Batch operations where possible
    
    ## Quick Reference
    
    | Task | Tool Slug | Key Params |
    |------|-----------|------------|
    | Query metrics | DATADOG_QUERY_METRICS | query, from, to |
    | List metrics | DATADOG_LIST_METRICS | q |
    | Search logs | DATADOG_SEARCH_LOGS | query, from, to, limit |
    | List log indexes | DATADOG_LIST_LOG_INDEXES | (none) |
    | List monitors | DATADOG_LIST_MONITORS | tags |
    | Get monitor | DATADOG_GET_MONITOR | monitor_id |
    | Create monitor | DATADOG_CREATE_MONITOR | name, type, query, message |
    | Update monitor | DATADOG_UPDATE_MONITOR | monitor_id |
    | Mute monitor | DATADOG_MUTE_MONITOR | monitor_id |
    | Unmute monitor | DATADOG_UNMUTE_MONITOR | monitor_id |
    | List dashboards | DATADOG_LIST_DASHBOARDS | (none) |
    | Get dashboard | DATADOG_GET_DASHBOARD | dashboard_id |
    | Update dashboard | DATADOG_UPDATE_DASHBOARD | dashboard_id, title, widgets |
    | Delete dashboard | DATADOG_DELETE_DASHBOARD | dashboard_id |
    | List events | DATADOG_LIST_EVENTS | start, end |
    | Create event | DATADOG_CREATE_EVENT | title, text, alert_type |
    | Create downtime | DATADOG_CREATE_DOWNTIME | scope, start, end |
    | List hosts | DATADOG_LIST_HOSTS | filter, sort_field |
    | Get trace | DATADOG_GET_TRACE_BY_ID | trace_id |
    
    ---
    *Powered by [Composio](https://composio.dev)*
    

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