query_openai_ads_feed_products
List the products in a feed that match filters ({field, operator in|not_in|gt|gte|lt|lte|contains|not_contains|starts_with, values[]}) — the SAME filter shape an ad group’s productSet takes, so this previews exactly which products that ad group would advertise. Each product carries its price and ...
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What query_openai_ads_feed_products does on Hermoso
AI agents call query_openai_ads_feed_products to retrieve information from Hermoso without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why query_openai_ads_feed_products is rated Low
Even though query_openai_ads_feed_products only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs query_openai_ads_feed_products safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For query_openai_ads_feed_products, this is the rule to start with:
query_openai_ads_feed_products is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every query_openai_ads_feed_products call is checked against it from then on.
Questions about query_openai_ads_feed_products
List the products in a feed that match filters ({field, operator in|not_in|gt|gte|lt|lte|contains|not_contains|starts_with, values[]}) — the SAME filter shape an ad group’s productSet takes, so this previews exactly which products that ad group would advertise. Each product carries its price and filter values. It does not carry a per-product review status: that is only in ChatGPT Ads Manager > Products. Paginate with after. Read-only, 0 credits. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.
Register the Hermoso MCP server in PolicyLayer and add a rule for query_openai_ads_feed_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 Hermoso. Nothing to install.
query_openai_ads_feed_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 query_openai_ads_feed_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 query_openai_ads_feed_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.
query_openai_ads_feed_products is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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