AI agents call monitor_list to retrieve information from Scrapegraph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation—it queries and returns a list of monitors without creating, modifying, deleting, or executing any code. The GET HTTP method and 'List' verb confirm it has no side effects. In the context of a scraping service, this is a low-severity read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'monitor_list' and description 'List monitors (API v2 GET /monitor)' indicate a GET request that retrieves monitoring data without modification.
Documented attack patterns abuse exactly the kind of access monitor_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scrapegraph, and nothing reaches the server without passing your rules. This is the rule we recommend for monitor_list:
{
"version": "1",
"default": "deny",
"tools": {
"monitor_list": {}
}
}monitor_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List monitors (API v2 GET /monitor). It is categorised as a Read tool in the Scrapegraph MCP Server, which means it retrieves data without modifying state.
Register the Scrapegraph MCP server in PolicyLayer and add a rule for monitor_list: 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 Scrapegraph. Nothing to install.
monitor_list 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 monitor_list 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 monitor_list. 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.
monitor_list is provided by the Scrapegraph MCP server (ScrapeGraphAI/scrapegraph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scrapegraph, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Scrapegraph tools catalogued and risk-classified — across an index of 43,000+ MCP servers.