AI agents call get_in_app_product to retrieve information from Play Store without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about an in-app product. It does not create, modify, delete, execute code, or perform financial transactions. It is a simple query/fetch operation with no side effects, matching the Read category definition.
From the tool's definition Tool name is 'get_in_app_product' and description states 'Get details of a specific in-app product' — both indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_in_app_product gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Play Store, and nothing reaches the server without passing your rules. This is the rule we recommend for get_in_app_product:
{
"version": "1",
"default": "deny",
"tools": {
"get_in_app_product": {}
}
}get_in_app_product is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific in-app product. It is categorised as a Read tool in the Play Store MCP Server, which means it retrieves data without modifying state.
Register the Play Store MCP server in PolicyLayer and add a rule for get_in_app_product: 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 Play Store. Nothing to install.
get_in_app_product 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_in_app_product 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_in_app_product. 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_in_app_product is provided by the Play Store MCP server (lusky3/play-store-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Play Store, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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27 Play Store tools catalogued and risk-classified — across an index of 43,000+ MCP servers.