AI agents call extract_table to retrieve information from MCP Camoufox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and parses existing HTML table data into a structured format. It performs no writes, deletes, code execution, or financial operations. The action is purely informational extraction. While the server itself is designed for potentially problematic web automation (bypassing bot detection), this specific tool's function is limited to read-only data extraction.
From the tool's definition Tool name 'extract_table' and description 'Extract data from an HTML table as JSON array' indicate data retrieval with no modification or deletion of underlying content.
Documented attack patterns abuse exactly the kind of access extract_table gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Camoufox, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_table:
{
"version": "1",
"default": "deny",
"tools": {
"extract_table": {}
}
}extract_table is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract data from an HTML table as JSON array. It is categorised as a Read tool in the MCP Camoufox MCP Server, which means it retrieves data without modifying state.
Register the MCP Camoufox MCP server in PolicyLayer and add a rule for extract_table: 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 MCP Camoufox. Nothing to install.
extract_table is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the extract_table 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 extract_table. 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.
extract_table is provided by the MCP Camoufox MCP server (robithyusuf/mcp-camoufox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Camoufox, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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102 MCP Camoufox tools catalogued and risk-classified — across an index of 43,000+ MCP servers.