AI agents call get_adlibrary_product_detail to retrieve information from Pipiads without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Ad library product ID |
Parameters from the server's own tool schema.
This tool queries the Meta Ad Library to fetch product details, store information, and advertiser metadata. It performs data retrieval only without creating, modifying, deleting, or executing external operations. The blast radius of misuse is minimal — an agent querying this tool excessively might incur credits or expose public advertising data already available in Meta's Ad Library, but cannot harm systems or data.
From the tool's definition Tool description states 'Get Meta Ad Library product detail' — retrieves data with no modification capability. The sibling tools include search, list, and submit operations typical of a query/intelligence API.
Attacks that exploit this kind of access
Get Meta Ad Library product detail with store and advertiser info. 1 credit. It is categorised as a Read tool in the Pipiads MCP Server, which means it retrieves data without modifying state.
get_adlibrary_product_detail accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Pipiads MCP server in PolicyLayer and add a rule for get_adlibrary_product_detail: 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 Pipiads. Nothing to install.
get_adlibrary_product_detail 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 get_adlibrary_product_detail 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 get_adlibrary_product_detail. 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.
get_adlibrary_product_detail is provided by the Pipiads MCP server (pipiads-mcp-server). 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.
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