Format a given timestamp
AI agents call format_timestamp to retrieve information from MCP Time Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reformats timestamp data, producing no side effects. It queries/transforms existing data (the timestamp provided as input) and returns a formatted result. This is a classic Read operation with minimal security risk.
From the tool's definition Tool name 'format_timestamp' and description 'Format a given timestamp' indicate a read-only operation that transforms and returns formatted time data without modifying state or triggering external operations.
Attacks that exploit this kind of access
Format a given timestamp. It is categorised as a Read tool in the MCP Time Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Time Server MCP server in PolicyLayer and add a rule for format_timestamp: 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 Time Server. Nothing to install.
format_timestamp 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 format_timestamp 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 format_timestamp. 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.
format_timestamp is provided by the MCP Time Server MCP server (pierregode/timemcp). 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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