scrape_url_raw
AI agents use scrape_url_raw to create or update resources in Cloudscraper — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cloudscraper environment.
An AI agent can call scrape_url_raw faster than any human can review — one bad instruction and it creates or modifies resources in Cloudscraper by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
scrape_url_raw. It is categorised as a Write tool in the Cloudscraper MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cloudscraper MCP server in PolicyLayer and add a rule for scrape_url_raw: 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 Cloudscraper. Nothing to install.
scrape_url_raw is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the scrape_url_raw 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.
Set action: deny in the PolicyLayer policy for scrape_url_raw. 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.
scrape_url_raw is provided by the Cloudscraper MCP server (llmtooling/cloudscraper-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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