AI agents use reply_to_review 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.
This tool creates or modifies data by posting a public reply to a user review on the Play Store. It is reversible in the sense that replies can be updated or deleted, making it a Write operation rather than Destructive. Misuse could damage brand reputation by posting inappropriate responses publicly, hence medium severity.
From the tool's definition Reply to a user review
Documented attack patterns abuse exactly the kind of access reply_to_review 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 reply_to_review:
{
"version": "1",
"default": "deny",
"tools": {
"reply_to_review": {
"limits": [
{
"counter": "reply_to_review_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}reply_to_review 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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Reply to a user review. 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 reply_to_review: 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.
reply_to_review 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 reply_to_review 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 reply_to_review. 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.
reply_to_review 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.