AI agents call watch_events to retrieve information from LuzzyTool without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool merely queries and retrieves file change events that have already been captured by listeners. It performs no creation, modification, deletion, or execution of code. The filtering capability is a passive query feature. No side effects or state changes occur from calling this tool, placing it clearly in the Read category with low severity.
From the tool's definition Tool name 'watch_events' with description stating '【查询操作】获取指定监听器捕获的文件变更事件。可按事件类型过滤。' (Query operation: retrieve file change events captured by specified listeners, filterable by event type).
Attacks that exploit this kind of access
【查询操作】获取指定监听器捕获的文件变更事件。可按事件类型过滤。. It is categorised as a Read tool in the LuzzyTool MCP Server, which means it retrieves data without modifying state.
Register the LuzzyTool MCP server in PolicyLayer and add a rule for watch_events: 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 LuzzyTool. Nothing to install.
watch_events 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 watch_events 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 watch_events. 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.
watch_events is provided by the LuzzyTool MCP server (luzzymeow/luzzytool). 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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