Fetch and extract content from a specific Google Cloud documentation page.

WHEN TO USE: Use this tool when you already know the exact documentation path you need, or when you want to get detailed content from a specific GCP documentation page.

INPUT: Documentation path after cloud.google.com/ (e.g., 'compute/docs/instances/create-start-instance', 'storage/docs/creating-buckets')

OUTPUT: Returns JSON with:

• title: Page title

• url: Full URL

• content: Markdown-formatted documentation content (max 20,000 chars)

• contentLength: Total content length

• truncated: Whether content was truncated

COMMON PATHS:

• Compute: compute/docs/instances/create-start-instance

• Storage: storage/docs/creating-buckets, storage/docs/encryption

• BigQuery: bigquery/docs/partitioned-tables, bigquery/docs/clustered-tables

• Cloud SQL: sql/docs/high-availability, sql/docs/replication

• GKE: kubernetes-engine/docs/how-to/cluster-autoscaler

• IAM: iam/docs/understanding-roles, iam/docs/service-accounts

• VPC: vpc/docs/vpc-peering, vpc/docs/shared-vpc

• Cloud Run: run/docs/configuring/environment-variables

TIP: If you don't know the exact path, use 'search_google_cloud_docs' first to find relevant documentation.

Search Google Cloud documentation with any free-form query. Returns relevant documentation with actual content.

WHEN TO USE: ALWAYS use this tool when the user asks about Google Cloud Platform (GCP) services, configurations, best practices, or how-to questions. This is the PRIMARY tool for GCP-related queries.

TRIGGERS - Use this tool when user asks about:

• Any GCP service (Compute Engine, Cloud Storage, BigQuery, Cloud SQL, GKE, Cloud Run, IAM, VPC, etc.)

• Configuration questions ("how to configure...", "how to setup...")

• Best practices for GCP services

• Troubleshooting GCP issues

• Cross-project or cross-account scenarios

• Security, encryption, permissions in GCP

• Networking in GCP (VPC, peering, firewall, load balancer)

• Database configurations (Cloud SQL HA, replicas, backups)

• Container orchestration (GKE autoscaling, node pools)

• Serverless (Cloud Run, Cloud Functions environment variables)

INPUT:

• query (required): Free-form search query in natural language

• product (optional): Filter by specific GCP product

EXAMPLE QUERIES:

• "how to share encrypted bucket cross account"

• "vpc peering between two projects"

• "cloud sql high availability setup"

• "gke autoscaling configuration"

• "bigquery partition table"

• "cloud run environment variables"

• "iam service account impersonation"

• "cloud storage cmek encryption"

• "gke workload identity"

OUTPUT: Returns JSON with:

• query: Original search query

• totalResults: Number of results found

• results: Array of top 3 docs with full content (title, url, content)

• otherRelatedDocs: Additional related documentation URLs

SUPPORTED TOPICS (80+ mappings):

• Storage & Encryption: encrypt, bucket, cmek, kms, customer managed, object storage

• IAM & Security: iam, role, service account, impersonation, workload identity

• Networking: vpc, peering, shared vpc, firewall, load balancer, dns, nat, private access

• Database: cloud sql, high availability, mysql, postgres, replica, failover

• BigQuery: partition, cluster, materialized view, schedule

• GKE: gke, autoscaling, node pool, horizontal pod autoscaler, helm

• Serverless: cloud run, environment variable, cloud function, deploy

• Container: docker, artifact registry, cloud build

• Pub/Sub: pubsub, topic, subscription

• Data Processing: dataflow, dataproc, composer, airflow, spark

• Monitoring: logging, monitoring, metric, alert, dashboard, trace

• Infrastructure: terraform, deployment manager, gcloud

List all available Google Cloud products with their documentation paths.

WHEN TO USE: Use this tool when:

• User wants to see what GCP services are available

• User is exploring GCP products

• You need to find the correct product ID for other tools

• User asks "what GCP services are there?" or similar

OUTPUT: Returns JSON with:

• totalProducts: Number of products listed

• products: Array of products with id, name, docsPath, docsUrl, description

PRODUCTS INCLUDED (20+):

• Compute: compute, kubernetes, functions, run, appengine

• Storage: storage, firestore, spanner

• Database: sql, bigquery

• AI/ML: ai (Vertex AI), vision, speech, translate

• Networking: vpc, loadbalancing, cdn, dns

• Security: iam, kms

• Messaging: pubsub

• Monitoring: logging, monitoring

TIP: Use the returned 'docsPath' with 'fetch_google_cloud_doc' to get detailed documentation.

Get REST API reference documentation for a specific Google Cloud service.

WHEN TO USE: Use this tool when:

• User needs API endpoints, methods, or parameters

• User is developing integrations with GCP APIs

• User asks about REST API for a specific GCP service

• User needs to know available API resources for a service

INPUT:

• service (required): GCP service name (compute, storage, bigquery, pubsub, sql, kubernetes, functions, run, iam)

• resource (optional): Specific API resource (instances, buckets, datasets, topics, etc.)

SUPPORTED SERVICES & RESOURCES:

• compute: instances, disks, networks, firewalls, images, machineTypes

• storage: buckets, objects, notifications

• bigquery: datasets, tables, jobs, routines

• pubsub: topics, subscriptions, snapshots

• sql: instances, databases, users, backupRuns

• kubernetes: clusters, nodePools, operations

• functions: functions, operations, locations

• run: services, configurations, routes, revisions

• iam: roles, serviceAccounts, policies

OUTPUT: Returns JSON with:

• service: Service name

• description: Service description

• apiReferenceUrl: Full URL to API reference

• availableResources: List of available resources for this service

• documentation: Actual API documentation content (if available)

EXAMPLE USAGE:

• Get Compute Engine API overview: service="compute"

• Get Storage buckets API: service="storage", resource="buckets"

• Get BigQuery datasets API: service="bigquery", resource="datasets"