Guess the last updated or published datetime of a web page. This tool examines HTTP headers, HTML metadata, Schema.org data, visible dates, JavaScript timestamps, HTML comments, Git information, RSS/Atom feeds, sitemaps, and international date formats to provide the most accurate update time with...
AI agents call guess_datetime_url to retrieve information from Jina AI Remote MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool purely reads and analyzes publicly available information from a web page (headers, metadata, timestamps) to infer a datetime. It has no write, execute, or destructive capabilities. Misuse potential is minimal as it only retrieves informational metadata.
From the tool's definition 'Guess the last updated or published datetime of a web page' — examines HTTP headers, HTML metadata, and other signals to retrieve timestamp information; no side effects described
Attacks that exploit this kind of access
Guess the last updated or published datetime of a web page. This tool examines HTTP headers, HTML metadata, Schema.org data, visible dates, JavaScript timestamps, HTML comments, Git information, RSS/Atom feeds, sitemaps, and international date formats to provide the most accurate update time with confidence scores. Returns the best guess timestamp and confidence level. It is categorised as a Read tool in the Jina AI Remote MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Jina AI Remote MCP Server MCP server in PolicyLayer and add a rule for guess_datetime_url: 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 Jina AI Remote MCP Server. Nothing to install.
guess_datetime_url 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 guess_datetime_url 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 guess_datetime_url. 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.
guess_datetime_url is provided by the Jina AI Remote MCP Server MCP server (wlmwwx/jina-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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