Scrape a URL and save the raw response body to a file in your current workspace. Always provide the file_path from the project directory you are actively working in so the content lands in the correct location.
AI agents use scrape_url_to_file 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.
The tool writes data to disk (file creation/modification), which is a Write action. Severity is medium because: (1) the file write itself is reversible (can be deleted or overwritten), (2) the blast radius is local to the workspace, not system-wide, and (3) it depends on the URL being scraped, but the action of writing a file is inherently a state-changing operation that warrants caution.
From the tool's definition Tool description states 'save the raw response body to a file in your current workspace' — this creates or modifies files irreversibly within the user's workspace.
Attacks that exploit this kind of access
Scrape a URL and save the raw response body to a file in your current workspace. Always provide the file_path from the project directory you are actively working in so the content lands in the correct location. 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_to_file: 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_to_file 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_to_file 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_to_file. 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_to_file 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.
Teams ship this data inside their own products. See what a licence covers →