Medium Risk

update_targeting_keywords

Update targeting keywords in bulk — change status (ACTIVE/PAUSED) and/or bid amounts. Use to pause underperforming keywords or adjust bids based on get_keyword_report data. Pass an array of 1 for single-keyword updates. Bid changes take effect immediately and affect future auctions.

Risk signalsBulk/mass operation — affects multiple targets

Part of the Apple Ads server.

update_targeting_keywords can modify Apple Ads data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use update_targeting_keywords to create or modify resources in Apple Ads. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call update_targeting_keywords repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Apple Ads.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_targeting_keywords": {
      "limits": [
        {
          "counter": "update_targeting_keywords_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access update_targeting_keywords gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_targeting_keywords only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the update_targeting_keywords tool do? +

Update targeting keywords in bulk — change status (ACTIVE/PAUSED) and/or bid amounts. Use to pause underperforming keywords or adjust bids based on get_keyword_report data. Pass an array of 1 for single-keyword updates. Bid changes take effect immediately and affect future auctions.. It is categorised as a Write tool in the Apple Ads MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_targeting_keywords? +

Register the Apple Ads MCP server in PolicyLayer and add a rule for update_targeting_keywords: 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 Apple Ads. Nothing to install.

What risk level is update_targeting_keywords? +

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

Can I rate-limit update_targeting_keywords? +

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

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

update_targeting_keywords is provided by the Apple Ads MCP server (apple-ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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