AI agents use update_listing to create or update resources in Play Store — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Play Store environment.
The tool creates or modifies app listing data in the Google Play Store, which is reversible but impacts production visibility, monetization, and user-facing content. Classified as Write rather than Execute because it targets data mutation, not code execution. Severity is high due to potential for unintended app store changes affecting millions of users, though the action itself is reversible.
From the tool's definition Tool name 'update_listing' on play-store-mcp server that 'deploy apps, manage releases' and sibling tools include 'deploy_app' and 'get_listing', indicating this modifies app store listing metadata (descriptions, keywords, graphics, pricing tiers, etc.).
Documented attack patterns abuse exactly the kind of access update_listing 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 update_listing:
{
"version": "1",
"default": "deny",
"tools": {
"update_listing": {
"limits": [
{
"counter": "update_listing_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_listing stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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update_listing. It is categorised as a Write tool in the Play Store MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Play Store MCP server in PolicyLayer and add a rule for update_listing: 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.
update_listing is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_listing 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 update_listing. 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.
update_listing 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.