Low Risk

zuckerbot_ad_accounts

List Meta ad accounts available to the connected user and show which is currently selected for launches and reporting. Optionally select an ad account by providing select_id — this clears the stored page selection so you can pick a matching page. Call this during setup or when switching between m...

Part of the Zuckerbot server.

zuckerbot_ad_accounts is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call zuckerbot_ad_accounts to retrieve information from Zuckerbot without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though zuckerbot_ad_accounts only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "zuckerbot_ad_accounts": {}
  }
}

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These attack patterns abuse exactly the kind of access zuckerbot_ad_accounts 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 zuckerbot_ad_accounts only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the zuckerbot_ad_accounts tool do? +

List Meta ad accounts available to the connected user and show which is currently selected for launches and reporting. Optionally select an ad account by providing select_id — this clears the stored page selection so you can pick a matching page. Call this during setup or when switching between multiple ad accounts.. It is categorised as a Read tool in the Zuckerbot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on zuckerbot_ad_accounts? +

Register the Zuckerbot MCP server in PolicyLayer and add a rule for zuckerbot_ad_accounts: 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 Zuckerbot. Nothing to install.

What risk level is zuckerbot_ad_accounts? +

zuckerbot_ad_accounts is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit zuckerbot_ad_accounts? +

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

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

zuckerbot_ad_accounts is provided by the Zuckerbot MCP server (DatalisHQ/zuckerbot-d2fa8661). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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