List all one-time in-app products for the app. Returns: JSON formatted list of all in-app products with their details.
Part of the Pypi:google Play server.
Free to start. No card required.
AI agents call list_inapp_products to retrieve information from Pypi:google Play without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though list_inapp_products only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"list_inapp_products": {}
}
}See the full Pypi:google Play policy for all 18 tools.
These attack patterns abuse exactly the kind of access list_inapp_products gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List all one-time in-app products for the app. Returns: JSON formatted list of all in-app products with their details.. It is categorised as a Read tool in the Pypi:google Play MCP Server, which means it retrieves data without modifying state.
Register the Pypi:google Play MCP server in PolicyLayer and add a rule for list_inapp_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 Pypi:google Play. Nothing to install.
list_inapp_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 list_inapp_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 list_inapp_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.
list_inapp_products is provided by the Pypi:google Play MCP server (pypi:google-play-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 18 Pypi:google Play tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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