특정 타임존의 현재 시간을 반환합니다.
AI agents call time to retrieve information from TypeScript MCP Server Boilerplate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves time information based on timezone parameters. It performs no modifications, deletions, or external operations; it simply queries and returns data. This is a straightforward read operation with minimal security risk.
From the tool's definition Tool name is 'time' and description indicates it 'returns current time for a specific timezone' - a read-only query operation with no side effects.
Attacks that exploit this kind of access
특정 타임존의 현재 시간을 반환합니다. It is categorised as a Read tool in the TypeScript MCP Server Boilerplate MCP Server, which means it retrieves data without modifying state.
Register the TypeScript MCP Server Boilerplate MCP server in PolicyLayer and add a rule for time: 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 TypeScript MCP Server Boilerplate. Nothing to install.
time 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 time 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 time. 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.
time is provided by the TypeScript MCP Server Boilerplate MCP server (sunwoong-data/mcp-server-251215). 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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