AI agents call review_status to retrieve information from Asc without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries the status of an app's review process in Apple's App Store Connect, returning informational data (in review, waiting, approved, or rejected). It has no side effects, does not modify data, and does not trigger external actions. It is purely a retrieval/read operation with minimal blast radius if misused.
From the tool's definition Tool name 'review_status' and description 'Check the current App Store review status' indicate a query operation that retrieves data about review state without modifying or executing external operations.
Attacks that exploit this kind of access
Check the current App Store review status — in review, waiting, approved, or rejected. It is categorised as a Read tool in the Asc MCP Server, which means it retrieves data without modifying state.
Register the Asc MCP server in PolicyLayer and add a rule for review_status: 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 Asc. Nothing to install.
review_status 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 review_status 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 review_status. 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.
review_status is provided by the Asc MCP server (pofky/asc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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