Export extracted data to CSV format
AI agents use export_to_csv to create or update resources in Pydoll — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pydoll environment.
This tool creates or outputs data to a CSV file. While it creates new files, the operation is reversible (files can be deleted or overwritten), making it a Write rather than Destructive action. Severity is medium because malicious CSV export could extract and exfiltrate sensitive data harvested by the browser automation context, but the tool itself is not destructive.
From the tool's definition Tool description states 'Export extracted data to CSV format'. The name 'export_to_csv' and the verb 'export' indicate creation of a new file or data output in CSV format, which is a write operation that creates or modifies data reversibly.
Documented attack patterns abuse exactly the kind of access export_to_csv gives an agent:
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 export_to_csv:
{
"version": "1",
"default": "deny",
"tools": {
"export_to_csv": {
"limits": [
{
"counter": "export_to_csv_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} export_to_csv stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Export extracted data to CSV format. It is categorised as a Write tool in the Pydoll MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pydoll MCP server in PolicyLayer and add a rule for export_to_csv: 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.
export_to_csv 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 export_to_csv 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 export_to_csv. 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.
export_to_csv 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.
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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57 Pydoll tools catalogued and risk-classified — across an index of 43,000+ MCP servers.