AI agents call search_products 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 |
|---|---|---|---|
sort | string | — | Sort field: 0=Start Date, 1=End Date, 2=Product Creation Date, 3=Price(USD), 4=Number of ads, 5=Impressions, 6=Likes, 7=Durations |
time | number | — | Time range shortcut: 1=yesterday, 7=last 7 days, 30=last 30 days, 90=last 90 days |
region | string | — | Country/region, multiple separated by commas, e.g. "US,GB" |
keyword | string | — | Search keyword for product title |
category | string | — | Product category, multiple separated by commas |
currency | string | — | Currency filter, comma-separated, e.g. "USD,EUR" |
platform | string | — | E-commerce platform, comma-separated: "shopify,woocommerce,shoplazza,magento,wix,shopline,squarespace,shopyy" |
store_id | string | — | Store ID (13-char string) to filter products from a store |
page_size | integer | — | Results per page, max 50 |
plat_type | number | — | Platform: 0=All, 1=TikTok, 2=Facebook |
price_max | number | — | Maximum product price (USD) |
price_min | number | — | Minimum product price (USD) |
Parameters from the server's own tool schema.
This tool queries an advertising intelligence API to retrieve and filter product information. It has no side effects beyond data retrieval. The cost structure (1 credit per result) is a metering mechanism, not a financial transaction. This is a straightforward search/query operation with read-only semantics.
From the tool's definition Tool searches and retrieves e-commerce product data ('Search e-commerce products'); returns filtered results by keyword, price, category, region, and ad metrics. No modification, deletion, or execution described.
Risk signalsHigh parameter count (29 properties)
Attacks that exploit this kind of access
Search e-commerce products advertised on TikTok/Facebook. Filter by keyword, price, category, region, ad metrics. 1 credit per result. It is categorised as a Read tool in the Pipiads MCP Server, which means it retrieves data without modifying state.
search_products accepts 12 parameters: sort, time, region, keyword, category, currency, platform, store_id, page_size, plat_type, price_max, price_min. 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 search_products: 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.
search_products 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 search_products 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 search_products. 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.
search_products 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.
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