AI agents call list_timezones to retrieve information from Time MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and enumerates timezone data without creating, modifying, deleting, or executing any operations. It is purely informational, making it a Read category tool with low severity since timezone enumeration poses minimal security risk to an AI agent.
From the tool's definition Tool name 'list_timezones' and description 'Lists available timezones' (translated from Chinese: '列出可用的时区'). This is a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
列出可用的时区. It is categorised as a Read tool in the Time MCP MCP Server, which means it retrieves data without modifying state.
Register the Time MCP server in PolicyLayer and add a rule for list_timezones: 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 Time MCP. Nothing to install.
list_timezones 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 list_timezones 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 list_timezones. 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.
list_timezones is provided by the Time MCP server (xbsheng/time-mcp). 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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