High Risk →

intelligent_search

Intelligently perform search on any website with automatic element detection

How to control intelligent_search ↓

What intelligent_search does on Pydoll

AI agents invoke intelligent_search to trigger actions in Pydoll. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why intelligent_search needs a policy

This tool performs automated browser interactions (detecting elements, entering search terms, submitting forms) on arbitrary websites. It executes external operations whose effects depend on arguments, placing it in the Execute category. Severity is medium because it can interact with any website and could be misused to probe sites or trigger unintended searches, but it does not inherently delete data or move money.

From the tool's definition 'Intelligently perform search on any website with automatic element detection' — triggers browser actions (typing into search fields, submitting queries) on external websites

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

How to control intelligent_search

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "intelligent_search": {
      "limits": [
        {
          "counter": "intelligent_search_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

intelligent_search stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pydoll — 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about intelligent_search

What does the intelligent_search tool do? +

Intelligently perform search on any website with automatic element detection. It is categorised as a Execute tool in the Pydoll MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on intelligent_search? +

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

What risk level is intelligent_search? +

intelligent_search is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit intelligent_search? +

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

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

intelligent_search is provided by the Pydoll MCP server (jinsongroh/pydoll-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pydoll tool call.

Start from Pydoll, 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.

57 Pydoll tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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