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, ...

High parameter count (11 properties); Single-target operation

Part of the Leapfrog MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

leapfrog-mcp Write Risk 2/5

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. Intercept'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.

io-github-anthonybono21-cloud-leapfrog.yaml
tools:
  paginate:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Leapfrog policy for all 37 tools.

Tool Name paginate
Category Write
MCP Server Leapfrog MCP Server
Risk Level Medium

View all 37 tools →

Agents calling write-class tools like paginate have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

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? +

Add a rule in your Intercept YAML policy under the tools section for paginate. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leapfrog MCP server.

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 Intercept 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 Intercept 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). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Leapfrog

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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