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](references/cli-usage.md) 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](references/mcp-usage.md) 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.

1. 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.

1. 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.

1. 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](references/cli-usage.md): Platform installation, authentication

methods (interactive, headless, ADC, service account keys, impersonation),

and local configuration management.

• [MCP Usage](references/mcp-usage.md): Using the Cloud CLI remote MCP

server (run_gcloud_command), project parameter scoping, input files, and

execution guidelines.