Download a file from a URL or trigger a download
AI agents invoke download_file 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.
Downloading a file involves executing an external HTTP request and saving data to disk. This goes beyond a simple read (it has side effects on the local filesystem) and beyond a simple write (it triggers an external operation). The blast radius is high because an AI agent could download malicious files, exfiltrate data, or fill disk space by pointing this tool at arbitrary URLs.
From the tool's definition 'Download a file from a URL or trigger a download' — initiates an external network operation and writes arbitrary files to the local filesystem
Documented attack patterns abuse exactly the kind of access download_file 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 download_file:
{
"version": "1",
"default": "deny",
"tools": {
"download_file": {
"limits": [
{
"counter": "download_file_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}download_file 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.
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Download a file from a URL or trigger a download. 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.
Register the Pydoll MCP server in PolicyLayer and add a rule for download_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 Pydoll. Nothing to install.
download_file is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the download_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 download_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.
download_file 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.