upload_google_ads_customer_match

Add members to an EXISTING Customer Match user list (pick it from list_google_ads_audiences - CRM-based,

SERVERSamarth Gtm Mcp SOURCEsamarth-gtm-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-samarthanalytics-sj-samarth-gtm-mcp/upload-google-ads-customer-match.md

WHAT IT DOES

What upload_google_ads_customer_match does on Samarth Gtm Mcp

AI agents use upload_google_ads_customer_match to create or update resources in Samarth Gtm Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Samarth Gtm Mcp environment.

RISK

Why upload_google_ads_customer_match is rated Medium

Adds users to advertising audience lists; reversible write with significant ad targeting impact.

From the tool's definition Add members to EXISTING Customer Match user list; modifies audience data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs upload_google_ads_customer_match safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Samarth Gtm Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For upload_google_ads_customer_match, this is the rule to start with:

upload_google_ads_customer_match Rate-limited

upload_google_ads_customer_match stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "upload_google_ads_customer_match": {
      "limits": [
        {
          "counter": "upload_google_ads_customer_match_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Samarth Gtm Mcp, apply this rule, and every upload_google_ads_customer_match call is checked against it from then on.

FAQ

Questions about upload_google_ads_customer_match

What does the upload_google_ads_customer_match tool do? +

Add members to an EXISTING Customer Match user list (pick it from list_google_ads_audiences - CRM-based,. It is categorised as a Write tool in the Samarth Gtm Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on upload_google_ads_customer_match? +

Register the Samarth Gtm MCP server in PolicyLayer and add a rule for upload_google_ads_customer_match: 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 Samarth Gtm Mcp. Nothing to install.

What risk level is upload_google_ads_customer_match? +

upload_google_ads_customer_match is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit upload_google_ads_customer_match? +

Yes. Add a rate_limit block to the upload_google_ads_customer_match 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 upload_google_ads_customer_match completely? +

Set action: deny in the PolicyLayer policy for upload_google_ads_customer_match. 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 upload_google_ads_customer_match? +

upload_google_ads_customer_match is provided by the Samarth Gtm MCP server (samarth-gtm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

Govern customer-ops agents →Argument validation →Scoped token →