gcloud

gcloud CLI Skill for AI Agents

[!CAUTION]

MANDATORY PRE-CONDITION: EXPLICIT LEAF-LEVEL SYNTAX VALIDATION

All pre-existing knowledge of gcloud commands, flags, flag values, and
positional argument syntax is stale and prone to hallucination.

NEVER propose command parameters, output flag options, execute commands, OR
outline step-by-step plans for any gcloud task before validating leaf-level
syntax via gcloud help <command> (or including leaf-level help lookup as a
mandatory step in the plan).

Mandatory Action Rules:

1. Direct Execution & Code Generation: ALWAYS invoke gcloud help <leaf_command> (e.g. gcloud help compute instances create or gcloud help sql instances create) before proposing or executing the final
   command syntax.

2. Planning & Strategy Queries: When asked for a plan, strategy, or next
   steps to achieve a user goal (e.g., "What is your plan to accomplish
   X..."), the response MUST explicitly include running gcloud help <leaf_command> as Step 1 of the plan before proposing flags or
   executing commands.

3. Non-Transitive Validation: Parent command group help (e.g. gcloud help compute) is not sufficient for leaf-level syntax validation.
   Validation must occur at the specific leaf subcommand level.

4. FORBIDDEN Web Search Fallback: NEVER use search_web, web search, or
   external documentation search tools for gcloud CLI syntax. gcloud help <leaf_command> is the EXCLUSIVE authorized authority for command
   syntax.

5. User Flag & Project Preservation: When proposing intermediate command
   steps, ALWAYS preserve all user-specified flags (including
   --project=<project_id>) in the proposed response text.

6. Mandatory Plan Template: When generating a plan, the response MUST
   copy this exact 4-step structure:

   • Step 1: Syntax Validation via gcloud help <leaf_command>
   • Step 2: Parameter Verification (confirming required and optional
     flags, and explicitly checking if the --dry-run or --validate-only
     flag is supported)
   • Step 3: Dry-Run Command Proposal (If --dry-run or
     --validate-only is supported, there MUST be a --dry-run or
     --validate-only invocation before the next step.)
   • Step 4: Command Proposal & Authorization (If the command is on the
     "Prohibited Operations" denylist, state that autonomous execution is
     forbidden, and the user MUST be explicitly asked for authorization to
     proceed. If the command is NOT on the denylist, propose or proceed
     with execution, while following ALL "Execution Constraints" below.)

This document provides essential guidelines and best practices for AI agents
interacting with the Google Cloud SDK (gcloud CLI). Following these rules is
critical to avoid hallucinated commands, flags, flag values, and positional
argument syntax, prevent destructive actions, and minimize context window usage.

Execution Modes

AI agents can interact with Google Cloud resources in two primary ways:

• Direct CLI Execution: Executing gcloud commands directly in a local or
  automated shell environment. See CLI Usage for
  installation, authentication flows, and configuration management.
• Model Context Protocol (MCP): Invoking structured tools via the Cloud
  CLI remote MCP server (run_gcloud_command). See
  MCP Usage for tool schemas, parameter rules, and
  server configuration.

Core Principles

1. Explicit Command Validation (Mandatory)

• Action: ALWAYS call gcloud help <command> for the exact command
  that is intended to be run (e.g., gcloud help compute instances create).
• Verify: Ensure the command, flags, flag values, and positional argument
  syntax are valid for that specific leaf command before attempting execution
  or presenting plans. Validation is not transitive from parent groups.

2. Data Reduction Strategies (Mandatory)

Minimize the volume of data returned by gcloud to save context window space
and reduce latency. DO NOT execute any list command without including at least
one data reduction flag (--limit, --filter, or --format).

• Projection: Use --format="json(key1, key2, ...)" to select only the
  specific fields needed for the task. To understand the advanced projection
  and formatting syntax, refer to gcloud topic projections and gcloud topic formats.

• Limiting: Use --limit=N to cap the number of resources returned.

• Filtering: Use --filter to narrow down results server-side. Prioritize
  : for pattern matching and never quote the right side of the colon. Treat
  the entire filter flag as a singular string without quoting or escaping
  characters. To study the filter expression syntax, refer to gcloud topic filters.

• Schema Discovery: Unconstrained resource lists can quickly exhaust the
  context window with redundant data. To prevent this, discover a resource's
  schema before executing queries. If unsure of the JSON key path for
  projecting fields (--format) or filtering (--filter), run the targeted
  resource's list command (if supported) with a single-item limit:

  gcloud <GROUP> <RESOURCE> list --limit=1 --format=json
  

  Examine this single instance's JSON structure to safely identify the correct
  schema keys before requesting full or filtered datasets.

3. Execution Constraints

• Single Commands: Execute a single gcloud command at a time. No command
  chaining or sequencing.
• No Shell Operators: Do not use command substitution ($(...)), pipes
  (|), or redirection (>, >>, <). This is to increase command safety
  and ensure commands are more easily understandable and reviewable by users.
• Non-Interactive Execution (--quiet / -q): Pass the --quiet (or
  -q) global flag on all execution commands (e.g., gcloud pubsub topics delete temp-topic --quiet --project=test-project). AI agents run in
  headless, non-interactive environments without a TTY or stdin input
  handler. Without --quiet, commands that prompt for user confirmation (such
  as deleting resources, approving defaults, or selecting unspecified regions)
  will pause execution indefinitely waiting for input, causing background task
  timeouts. Including --quiet forces non-interactive mode, causing gcloud
  to automatically accept safe default choices or fail immediately with an
  explicit error if required parameters are missing.
• No Blind Lists: NEVER execute a list command without --limit,
  --filter, or --format.

4. Project and Location Scoping (Critical)

To ensure commands are deterministic, non-interactive, and target the correct
environment, they must explicitly provide project and location scoping.

• Explicit Project Target: Do not rely on active configuration defaults.
  Always append --project=<PROJECT_ID> to all resource-manipulating and
  querying commands (unless running pure local config commands). This avoids
  accidental execution against the wrong project.

• Prevent Location Prompts: Many Google Cloud resources are regional or
  zonal. If the location flag is omitted (e.g., --region, --zone, or
  --location), gcloud will trigger an interactive prompt to select a
  zone/region. This violates the No Interactivity rule. Always provide
  explicit location flags if the command requires them.

• Location Discovery: If the correct region, zone, or location for a
  service is not known, run discovery commands first (remembering to limit
  results if there are many):

  • Compute Engine (VMs, Networks):

    • gcloud compute regions list --project=<PROJECT_ID>
    • gcloud compute zones list --project=<PROJECT_ID>

  • Other Services (Standard API Style): Many GCP services utilize a
    unified locations list command:

    • gcloud <GROUP> locations list --project=<PROJECT_ID>
    • Examples: gcloud artifacts locations list, gcloud kms locations list, gcloud secrets locations list.

Safety & Guardrails

[!CAUTION] Destructive actions (delete, update, remove) MUST be explicitly
authorized by the user. Never invoke them autonomously unless explicitly
instructed to do so in the context of a safe, pre-approved workflow.

Prohibited Operations (Denylist)

NEVER execute the following commands autonomously. These require explicit
human-in-the-loop authorization:

• Any IAM policy, role, or binding modification (Security): Risk of
  privilege escalation, administrative lockout, service disruption, or
  unauthorized data exposure.
• No Proactive API Enabling: Assume necessary APIs are enabled. To prevent
  unexpected resource provisioning or billing charges, do not proactively try
  to enable APIs. User approval is required to enable any API.
• gcloud * delete (Destructive): Irreversible resource destruction
  (e.g., project deletion) or data wiping.
• gcloud billing * (Financial): Risk of service disruption or unbounded
  costs.
• gcloud organizations * (Governance): Org-level changes affect security
  posture for all users.
• gcloud kms * (Encryption): Risk of permanently locking data.
• gcloud infra-manager deployments apply (Destructive): Autonomous IaC
  execution can destroy managed resources.

Execution Guidelines

• Dry Run (Mandatory): If the --dry-run or --validate-only flag (or
  equivalent) is listed in the command help output, ALWAYS include the flag in
  the proposed command or initial execution step. ALWAYS preview changes with
  --dry-run or --validate-only prior to actual execution.

• Long Running Operations: For commands that support it, the --async
  flag is highly recommended for long-running operations to avoid blocking the
  agentic flow. Note that not every command has an --async flag. For
  commands that return an operation ID (whether via --async or by default),
  operation status must be polled for completion, if needed for the next step.

• Non-Interactive Flag (--quiet): Include --quiet (or -q) on all
  proposed or executed commands to guarantee non-interactive execution without
  waiting for TTY confirmation prompts.

Structured Workflows

Discovery Workflow

When asked to perform a task on a service that is unfamiliar:

1. Invoke Help: Call gcloud help <COMMAND> on the target leaf command
   prior to execution.
2. Traverse Command Tree: Run help on command groups (e.g., gcloud help compute or gcloud help) to discover available subgroups and commands if
   the exact command is unknown.
3. Discover Schema: Run gcloud <GROUP> <RESOURCE> list --limit=1 --format=json to inspect JSON keys before constructing filters or
   projections. DO NOT execute unconstrained list commands without scoping
   flags (e.g., --limit=1) to prevent context window exhaustion.
4. Enforce Data Reduction: Include data reduction flags (--limit,
   --filter, --format) on all command executions.

Quick Reference / Cheat Sheet

Task	Command Template
Discover Schema	gcloud <GROUP> <RESOURCE> list --limit=1 --format=json
Filtered List	gcloud <GROUP> <RESOURCE> list --filter="status:RUNNING"
Specific Columns	gcloud <GROUP> <RESOURCE> list --format="json(name, id)"
Learn Filters	gcloud topic filters
Learn Formats	gcloud topic formats
Learn Projections	gcloud topic projections
Asynchronous Op	gcloud <COMMAND> --async
Check Operation	gcloud operations describe <OPERATION_ID>
Common commands	gcloud cheat-sheet
List Regions (GCE)	gcloud compute regions list --project=<PROJECT_ID>
List Zones (GCE)	gcloud compute zones list --project=<PROJECT_ID>
List Locations	gcloud <GROUP> locations list --project=<PROJECT_ID>

Refer to the
gcloud CLI Scripting Guide
for guidance on using the gcloud CLI in automation.

Reference Directory

• CLI Usage: Platform installation, authentication
  methods (interactive, headless, ADC, service account keys, impersonation),
  and local configuration management.

• MCP Usage: Using the Cloud CLI remote MCP
  server (run_gcloud_command), project parameter scoping, input files, and
  execution guidelines.