获取指定时间段内的日程事件
AI agents call get_events to retrieve information from MCP Commute Assistant without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves calendar/schedule data within a time range. It performs no modifications, deletions, executions, or financial operations. The operation is read-only and informational, consistent with a commute assistant needing to check calendar availability.
From the tool's definition Tool name 'get_events' and description '获取指定时间段内的日程事件' (retrieve schedule events within a specified time period) indicate a data retrieval operation with no side effects.
Attacks that exploit this kind of access
获取指定时间段内的日程事件. It is categorised as a Read tool in the MCP Commute Assistant MCP Server, which means it retrieves data without modifying state.
Register the MCP Commute Assistant MCP server in PolicyLayer and add a rule for get_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 MCP Commute Assistant. Nothing to install.
get_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 get_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 get_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.
get_events is provided by the MCP Commute Assistant MCP server (standup-coder/mcp4coder). 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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