Lists A/B tests (ad studies) for a Meta ad account. Args: - ad_account_id (string): Ad account ID (e.g., act_123456789) - limit (number): Max results (1–50, default 10) Returns: List of studies with name, type, status, dates, and results.
AI agents call meta_get_ad_studies to retrieve information from Meta MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing ad study metadata without side effects. It is a straightforward data retrieval operation scoped to viewing analytics/test information. Misuse would only expose existing campaign data, not enable financial transactions, code execution, or destructive actions.
From the tool's definition Tool name contains 'get_' and description states 'Lists A/B tests (ad studies)' — a retrieval operation with no modification, creation, deletion, or execution of code. Returns read-only data: 'name, type, status, dates, and results.'
Documented attack patterns abuse exactly the kind of access meta_get_ad_studies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Meta MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for meta_get_ad_studies:
{
"version": "1",
"default": "deny",
"tools": {
"meta_get_ad_studies": {}
}
}meta_get_ad_studies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists A/B tests (ad studies) for a Meta ad account. Args: - ad_account_id (string): Ad account ID (e.g., act_123456789) - limit (number): Max results (1–50, default 10) Returns: List of studies with name, type, status, dates, and results. It is categorised as a Read tool in the Meta MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Meta MCP Server MCP server in PolicyLayer and add a rule for meta_get_ad_studies: 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 Meta MCP Server. Nothing to install.
meta_get_ad_studies is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the meta_get_ad_studies 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.
Set action: deny in the PolicyLayer policy for meta_get_ad_studies. 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.
meta_get_ad_studies is provided by the Meta MCP Server MCP server (oliverames/meta-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Meta MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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200 Meta MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.