AI agents invoke deploy_app_multilang to trigger actions in Play Store. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Deploying an application to the Google Play Store is an external operation that triggers real-world effects (app publication/updates) whose consequences depend on the deployment arguments (which app, which version, which regions/languages). This is Execute rather than Write because it invokes external services and cannot be easily reversed once deployed to production.
From the tool's definition Tool name 'deploy_app_multilang' indicates deployment of applications. Server description explicitly states it 'connects to the Google Play Developer API to deploy apps.' Sibling tool 'deploy_app' confirms deployment capability on this server.
Documented attack patterns abuse exactly the kind of access deploy_app_multilang 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 deploy_app_multilang:
{
"version": "1",
"default": "deny",
"tools": {
"deploy_app_multilang": {
"limits": [
{
"counter": "deploy_app_multilang_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}deploy_app_multilang stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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deploy_app_multilang. It is categorised as a Execute tool in the Play Store MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Play Store MCP server in PolicyLayer and add a rule for deploy_app_multilang: 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.
deploy_app_multilang is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the deploy_app_multilang 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 deploy_app_multilang. 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.
deploy_app_multilang 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.