Medium Risk

paginate

Extract data across multiple pages in a single call. Handles click-next, infinite scroll, and URL-pattern pagination. Auto-detects 'next' buttons when nextSelector='auto'. Returns extracted content from each page plus metadata. Replaces 3-4 tool calls per page with one invocation. Cap: 50 pages, ...

Risk signalsHigh parameter count (11 properties)

Part of the Leapfrog server.

paginate can modify Leapfrog data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use paginate to create or modify resources in Leapfrog. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call paginate repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Leapfrog.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "paginate": {
      "limits": [
        {
          "counter": "paginate_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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

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

What does the paginate tool do? +

Extract data across multiple pages in a single call. Handles click-next, infinite scroll, and URL-pattern pagination. Auto-detects 'next' buttons when nextSelector='auto'. Returns extracted content from each page plus metadata. Replaces 3-4 tool calls per page with one invocation. Cap: 50 pages, 100K total chars.. It is categorised as a Write tool in the Leapfrog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on paginate? +

Register the Leapfrog MCP server in PolicyLayer and add a rule for paginate: 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 Leapfrog. Nothing to install.

What risk level is paginate? +

paginate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit paginate? +

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

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

paginate is provided by the Leapfrog MCP server (leapfrog-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Leapfrog tool call.

Deterministic rules across all 37 Leapfrog tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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