ListMetricAssets

Identify dashboards, monitors, notebooks, and SLOs associated with a specific metric. Updated daily, this tool helps track and manage metric usage efficiently on the Datadog platform.

Instructions

Returns dashboards, monitors, notebooks, and SLOs that a metric is stored in, if any. Updated every 24 hours.

Path Parameters:

metric_name (Required): The name of the metric.

Responses:

200 (Success): Success
- Content-Type: application/json
- Response Properties:
  - included: Array of objects related to the metric assets.
- Example:

{
  "data": "unknown_type",
  "included": [
    "unknown_type"
  ]
}

400: API error response.
- Content-Type: application/json
- Response Properties:
  - errors: A list of errors.
- Example:

{
  "errors": [
    "Bad Request"
  ]
}

403: API error response.
- Content-Type: application/json
- Response Properties:
  - errors: A list of errors.
- Example:

{
  "errors": [
    "Bad Request"
  ]
}

404: API error response.
- Content-Type: application/json
- Response Properties:
  - errors: A list of errors.
- Example:

{
  "errors": [
    "Bad Request"
  ]
}

429: Too Many Requests
- Content-Type: application/json
- Response Properties:
  - errors: A list of errors.
- Example:

{
  "errors": [
    "Bad Request"
  ]
}

Input Schema

Name	Required	Description	Default
`metric_name`	Yes	The name of the metric.

Input Schema (JSON Schema)

{
  "properties": {
    "metric_name": {
      "description": "The name of the metric.",
      "type": "string"
    }
  },
  "required": [
    "metric_name"
  ],
  "type": "object"
}

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Datadog MCP Server

ListMetricAssets

Instructions

Input Schema

Input Schema (JSON Schema)

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