sf_check

Verify that Screaming Frog SEO Spider is installed and the CLI is accessible.

Server Screaming Frog marykovziridze/screaming-frog-mcp
Category Read
Risk class Low
Parameters 00 required

What sf_check does on Screaming Frog

AI agents call sf_check to retrieve information from Screaming Frog without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why sf_check needs a policy

This tool performs a diagnostic check to confirm system prerequisites (software installation and CLI accessibility). It retrieves or queries status information without side effects, making it a Read operation. The severity is low because even if misused, it cannot harm data or systems — it only returns boolean success/failure status. Confidence is high due to explicit, unambiguous language in the tool description.

From the tool's definition Tool description states it 'Verify[s] that Screaming Frog SEO Spider is installed and the CLI is accessible' — a pure verification/status check with no modification, deletion, execution, or financial impact.

Questions about sf_check

What does the sf_check tool do? +

Verify that Screaming Frog SEO Spider is installed and the CLI is accessible. It is categorised as a Read tool in the Screaming Frog MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sf_check? +

Register the Screaming Frog MCP server in PolicyLayer and add a rule for sf_check: 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 Screaming Frog. Nothing to install.

What risk level is sf_check? +

sf_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sf_check? +

Yes. Add a rate_limit block to the sf_check 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.

How do I block sf_check completely? +

Set action: deny in the PolicyLayer policy for sf_check. 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.

What MCP server provides sf_check? +

sf_check is provided by the Screaming Frog MCP server (marykovziridze/screaming-frog-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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