AI agents call wait_and_read to retrieve information from GachaMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool waits and then reads text from the screen, which is a read/query operation with no side effects. The wait component is passive. No data is written, executed, or destroyed. Severity is low as it only captures screen content.
From the tool's definition 'đọc lại text trên màn hình' (read screen text again after waiting) — the tool waits a period of time then reads/captures text from the screen
Attacks that exploit this kind of access
Đợi một khoảng thời gian rồi đọc lại text trên màn hình. It is categorised as a Read tool in the GachaMCP MCP Server, which means it retrieves data without modifying state.
Register the Gacha MCP server in PolicyLayer and add a rule for wait_and_read: 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 GachaMCP. Nothing to install.
wait_and_read 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 wait_and_read 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 wait_and_read. 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.
wait_and_read is provided by the Gacha MCP server (nguyenhuynhphuvinh/gachamcp). 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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