Low Risk

extract_api_responses

Extract and save API responses

How to control extract_api_responses ↓

What extract_api_responses does on Pydoll

AI agents call extract_api_responses to retrieve information from Pydoll without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why extract_api_responses needs a policy

This tool retrieves and captures API response data that the browser has already received. While 'save' appears in the description, in context it refers to storing copies of read data locally (extraction), not creating new resources or modifying existing ones. There is no indication of code execution, data destruction, financial operations, or structural changes to systems.

From the tool's definition Tool name 'extract_api_responses' and description 'Extract and save API responses' indicate passive retrieval of data. The verb 'extract' implies reading/copying existing API responses without modification or deletion.

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

How to control extract_api_responses

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 extract_api_responses:

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

extract_api_responses 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 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.
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Related tools and policies

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Questions about extract_api_responses

What does the extract_api_responses tool do? +

Extract and save API responses. It is categorised as a Read tool in the Pydoll MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_api_responses? +

Register the Pydoll MCP server in PolicyLayer and add a rule for extract_api_responses: 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 extract_api_responses? +

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

Can I rate-limit extract_api_responses? +

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

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

extract_api_responses 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.

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