获取指定日期和班别的OEE性能数据
AI agents call shift_performance_analysis to retrieve information from Weather MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves OEE performance data for a given date and shift. This is a read/query operation with no side effects. Despite being on a weather MCP server, the tool appears to be an industrial performance analytics tool. Severity is low as misuse only exposes operational metrics.
From the tool's definition 获取指定日期和班别的OEE性能数据 — '获取' means 'get/retrieve', indicating a read operation fetching OEE (Overall Equipment Effectiveness) performance data for a specified date and shift.
Attacks that exploit this kind of access
获取指定日期和班别的OEE性能数据. It is categorised as a Read tool in the Weather MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Weather MCP Server MCP server in PolicyLayer and add a rule for shift_performance_analysis: 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 Weather MCP Server. Nothing to install.
shift_performance_analysis 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 shift_performance_analysis 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 shift_performance_analysis. 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.
shift_performance_analysis is provided by the Weather MCP Server MCP server (theshypika/mcp-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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