現在の日時を取得します
AI agents call get_current_time to retrieve information from NestJS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool simply returns the current date/time—a read-only query with no ability to modify state, execute commands, delete data, or create financial obligations. It has minimal blast radius if misused by an AI agent. Classification as Read is appropriate.
From the tool's definition Tool name 'get_current_time' and description '現在の日時を取得します' (retrieves current date and time) indicate a pure data retrieval operation with no side effects, modification, or execution capability.
Attacks that exploit this kind of access
現在の日時を取得します. It is categorised as a Read tool in the NestJS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the NestJS MCP Server MCP server in PolicyLayer and add a rule for get_current_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 NestJS MCP Server. Nothing to install.
get_current_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 get_current_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 get_current_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.
get_current_time is provided by the NestJS MCP Server MCP server (kaz29/mcp-server-example). 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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