Low Risk

guess_datetime_url

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...

How to control guess_datetime_url ↓

What guess_datetime_url does on Jina AI Remote MCP Server

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.

Low Risk

Why guess_datetime_url needs a policy

This tool only retrieves and analyzes publicly available metadata from a web page to estimate its publication or update date. It performs read-only inspection with no side effects, data modification, or external operations triggered.

From the tool's definition Guess the last updated or published datetime of a web page...examines HTTP headers, HTML metadata, Schema.org data, visible dates...Returns the best guess timestamp and confidence level.

Documented attack patterns abuse exactly the kind of access guess_datetime_url gives an agent:

How to control guess_datetime_url

PolicyLayer is an MCP gateway — it sits between your AI agents and Jina AI Remote MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for guess_datetime_url:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "guess_datetime_url": {}
  }
}

guess_datetime_url is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Jina AI Remote MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about guess_datetime_url

What does the guess_datetime_url tool do? +

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.

How do I enforce a policy on guess_datetime_url? +

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.

What risk level is guess_datetime_url? +

guess_datetime_url is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit guess_datetime_url? +

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.

How do I block guess_datetime_url completely? +

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.

What MCP server provides guess_datetime_url? +

guess_datetime_url is provided by the Jina AI Remote MCP Server MCP server (jina-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jina AI Remote MCP Server tool call.

Start from Jina AI Remote MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

21 Jina AI Remote MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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