Save HTTP Archive (HAR) file of network activity
AI agents use save_har 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 writes/saves a HAR file to disk capturing network activity. It creates a new file as output, making it a Write operation. Misuse could expose sensitive network traffic data (credentials, tokens) captured in the HAR file, hence medium severity.
From the tool's definition Save HTTP Archive (HAR) file of network activity
Documented attack patterns abuse exactly the kind of access save_har 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 save_har:
{
"version": "1",
"default": "deny",
"tools": {
"save_har": {
"limits": [
{
"counter": "save_har_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}save_har 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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Save HTTP Archive (HAR) file of network activity. 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 save_har: 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.
save_har 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 save_har 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 save_har. 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.
save_har 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.
Free to start. No card required.
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