storage_summary

Show disk usage of Screaming Frog's internal crawl storage.

Server Screaming Frog SEO Spider MCP Server pypi:screaming-frog-mcp
Category Read
Risk class Low
Parameters 00 required

What storage_summary does on Screaming Frog SEO Spider MCP Server

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

Why storage_summary needs a policy

This tool retrieves storage statistics from Screaming Frog's internal crawl storage. It has no side effects, does not modify data, and poses minimal security risk. It falls squarely into the Read category (retrieves information) with low severity since it only exposes storage metrics that an attacker could already infer through other means, and the blast radius of misuse is negligible.

From the tool's definition Tool queries disk usage information ('Show disk usage') without modifying, deleting, or executing anything. The description indicates a read-only inspection of storage metrics.

Questions about storage_summary

What does the storage_summary tool do? +

Show disk usage of Screaming Frog's internal crawl storage. It is categorised as a Read tool in the Screaming Frog SEO Spider MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on storage_summary? +

Register the Screaming Frog SEO Spider MCP Server MCP server in PolicyLayer and add a rule for storage_summary: 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 SEO Spider MCP Server. Nothing to install.

What risk level is storage_summary? +

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

Can I rate-limit storage_summary? +

Yes. Add a rate_limit block to the storage_summary 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 storage_summary completely? +

Set action: deny in the PolicyLayer policy for storage_summary. 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 storage_summary? +

storage_summary is provided by the Screaming Frog SEO Spider MCP Server MCP server (pypi: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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