Cloud Monitoring List Time Series Request

Cloud Monitoring ListTimeSeries Request Generator

Use this skill to translate any Cloud Monitoring metric descriptor into valid, production-ready ListTimeSeries REST API query parameters (name, filter, interval.startTime, interval.endTime, aggregation.*, view).

CRITICAL RULES

• Mandatory Project ID Clarification: You MUST ensure the GCP Project ID is present in the user prompt, input payload, or environment context (such as via gcloud config get-value project). If the Project ID is missing and cannot be resolved, you MUST ask the user to clarify it before generating or executing ListTimeSeries requests. Do NOT use placeholders for project names.

Workflow

Inspect Metric Metadata

1. Use Provided Metric Metadata First: If the user's prompt already includes metric metadata such as metric.type, metricKind, valueType, resource types, or label keys, use those values directly instead of calling API tools.
2. Discover Missing Metadata: If exact metric descriptors including metric.type, metricKind, and valueType are missing or underspecified, resolve the target metric's descriptor using one of these paths:
   • Vague Query: If the prompt is vague, such as asking for VM CPU usage, use the cloud-monitoring-metric-selection skill first to identify the specific metric type.
   • Known Metric Type: If you already have the specific metric type name such as compute.googleapis.com/instance/cpu/utilization, but need its descriptor, call the list_metric_descriptors MCP tool. If the tool is missing, refer to the cloud-monitoring-metric-selection skill to configure the Cloud Monitoring MCP server.
   • Fallback: If the MCP tool cannot be configured, fall back to making a direct Cloud Monitoring API call.
3. Identify Key Fields: From the retrieved descriptor, identify key schema attributes:
   • type: The Cloud Monitoring metric type string.
   • metricKind: GAUGE, DELTA, or CUMULATIVE.
   • valueType: INT64, DOUBLE, DISTRIBUTION, or BOOL.
   • monitoredResourceTypes: Compatible resource.type strings, for example ["cloudsql_database", "cloudsql_instance"]. If multiple resource types are listed, select the specific resource.type that matches the target granularity of the user's request.

Construct Monitoring Filter

The filter parameter is a mandatory string in Cloud Monitoring syntax that restricts the query to a single metric.type and optional resource and metric labels:

1. Single Metric Type Restriction: Every filter MUST specify exactly one metric.type clause using an equality operator. For example:

   • metric.type = "compute.googleapis.com/instance/cpu/utilization"

2. Monitored Resource Type Filter: MUST include the resource.type filter when the target resource granularity is known, preventing collisions across services that share metric types or sub-resources. For example:

   • metric.type = "cloudsql.googleapis.com/database/cpu/utilization" AND resource.type = "cloudsql_database"

3. Preserve User Literals and IDs: You MUST use literal resource names, IDs, zones, and project parameters provided by the user without alteration. Do NOT override or replace user-specified identifiers with active resources found during metric metadata discovery unless explicitly requested.

4. Label Type Prefixing:

   • Prefix resource-level dimensions, such as instance ID, zone, project, database ID, or subscription ID, with the resource.labels. prefix. For example:
     • resource.labels.instance_id = "123456789"
     • resource.labels.database_id = "my-project:my-instance"
   • Prefix metric-level dimensions, such as state, command, response code, or instance name metadata when stored on the metric, with the metric.labels. prefix. For example:
     • metric.labels.state != "free"
     • metric.labels.instance_name = "instance-1"

5. Resource Name versus ID Resolution:

   • If the user specifies a human-readable GCE VM instance name such as "instance-1", but resource.labels.instance_id expects a numeric ID, you MUST filter using either metric.labels.instance_name = "instance-1" or metadata.system_labels.name = "instance-1".
   • Do NOT use resource.metadata.name or resource.metadata.*. This prefix is invalid in Cloud Monitoring filter syntax.
   • Do NOT assign a string instance name directly to resource.labels.instance_id unless the resource type explicitly uses string IDs.

6. Database Identifier Labels: Database labels such as database_id for Cloud SQL and Spanner, or dataset_id for BigQuery, use composite keys formatted as <project_id>:<instance_name>. For example: resource.labels.database_id = "my-project:foo".

7. Ops Agent Metrics State Label Filtering: For agent.googleapis.com/memory/percent_used and agent.googleapis.com/disk/percent_used metrics, you MUST use metric.labels.state != "free". Do NOT filter by metric.labels.state = "used".