Critical Risk →

gtm_workspace

Performs various workspace operations including create, get, list, update, remove, createVersion, getStatus, sync, quickPreview, and resolveConflict actions. The

How to control gtm_workspace ↓

AI agents call gtm_workspace to permanently remove resources in Google Tag Manager MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

The tool spans multiple categories. 'remove' is irreversible deletion of a GTM workspace (Destructive). 'createVersion' and 'sync' can permanently alter GTM publishing state. Under the most-severe-wins rule, the presence of 'remove' (irreversible deletion) and 'sync'/'createVersion' (which can overwrite/publish live tag configurations) elevates this to Destructive/high.

From the tool's definition operations including create, get, list, update, remove, createVersion, getStatus, sync, quickPreview, and resolveConflict actions

Documented attack patterns abuse exactly the kind of access gtm_workspace gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Tag Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for gtm_workspace:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "gtm_workspace"
  ]
}

gtm_workspace disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Google Tag Manager MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RESTRICT THIS TOOL →

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Go deeper

What does the gtm_workspace tool do? +

Performs various workspace operations including create, get, list, update, remove, createVersion, getStatus, sync, quickPreview, and resolveConflict actions. The. It is categorised as a Destructive tool in the Google Tag Manager MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on gtm_workspace? +

Register the Google Tag Manager MCP Server MCP server in PolicyLayer and add a rule for gtm_workspace: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Google Tag Manager MCP Server. Nothing to install.

What risk level is gtm_workspace? +

gtm_workspace is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit gtm_workspace? +

Yes. Add a rate_limit block to the gtm_workspace rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block gtm_workspace completely? +

Set action: deny in the PolicyLayer policy for gtm_workspace. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides gtm_workspace? +

gtm_workspace is provided by the Google Tag Manager MCP Server MCP server (stape-io/google-tag-manager-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Tag Manager MCP Server tool call.

Deterministic rules across all 18 Google Tag Manager MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

18 Google Tag Manager MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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