Break down Meta ad performance by audience demographics: age+gender, country, region, DMA, or surface dimension. Supports custom date ranges, daily/weekly/monthly buckets, server-side filtering, and attribution-window overrides.
AI agents call meta.insights.demographics to retrieve information from Ads 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 demographic performance analytics from Meta Ads. It involves no creation, modification, deletion, or financial transactions — it is a pure read/reporting tool. Misuse risk is low as it only exposes ad performance data.
From the tool's definition 'Break down Meta ad performance by audience demographics' — purely retrieves and aggregates reporting data with no mutations; supports 'custom date ranges, daily/weekly/monthly buckets, server-side filtering' all read-only operations
Attacks that exploit this kind of access
Break down Meta ad performance by audience demographics: age+gender, country, region, DMA, or surface dimension. Supports custom date ranges, daily/weekly/monthly buckets, server-side filtering, and attribution-window overrides. It is categorised as a Read tool in the Ads MCP Server, which means it retrieves data without modifying state.
Register the Ads MCP server in PolicyLayer and add a rule for meta.insights.demographics: 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 Ads. Nothing to install.
meta.insights.demographics 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.insights.demographics 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.insights.demographics. 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.insights.demographics is provided by the Ads MCP server (manlikemuneeb/ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →