Low Risk

Fact

check statements using Jina AI's grounding engine

Part of the Jina Ai server.

Fact is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call Fact to perform operations in Jina Ai. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.

Applying a policy to Fact gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.

Apply a rate limit to control usage and monitor for unexpected behaviour.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "Fact": {
      "limits": [
        {
          "counter": "fact_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Jina Ai policy for all 22 tools.

Get this rule live on your own Jina Ai server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 22 tools →

These attack patterns abuse exactly the kind of access Fact gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so Fact only ever does what you allow.

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Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the Fact tool do? +

check statements using Jina AI's grounding engine. It is categorised as a Other tool in the Jina Ai MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on Fact? +

Register the Jina Ai MCP server in PolicyLayer and add a rule for Fact: 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. Nothing to install.

What risk level is Fact? +

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

Can I rate-limit Fact? +

Yes. Add a rate_limit block to the Fact 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 Fact completely? +

Set action: deny in the PolicyLayer policy for Fact. 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 Fact? +

Fact is provided by the Jina Ai MCP server (jina-ai-mcp-server). 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 tool call.

Deterministic rules across all 22 Jina Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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