Trigger a fresh site crawl and analysis. Use this after deploying changes to refresh SEO data. Crawls the entire site, checks all URLs, detects issues, and updates the database with current SEO status.
AI agents invoke crawl_site to trigger actions in Rampify MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs an active operation that triggers a crawl process and writes results to a database. While it does not delete data (Destructive) or move money (Financial), it clearly executes an automated process whose effects depend on the target site argument. The database update component makes it Write-adjacent, but the primary action is triggering/executing a crawl process.
From the tool's definition Tool description states 'Trigger a fresh site crawl and analysis' and 'Crawls the entire site, checks all URLs, detects issues, and updates the database with current SEO status.' The verb 'trigger' and 'updates the database' indicate this tool executes an…
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Trigger a fresh site crawl and analysis. Use this after deploying changes to refresh SEO data. Crawls the entire site, checks all URLs, detects issues, and updates the database with current SEO status. It is categorised as a Execute tool in the Rampify MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rampify MCP Server MCP server in PolicyLayer and add a rule for crawl_site: 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 Rampify MCP Server. Nothing to install.
crawl_site is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the crawl_site 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 crawl_site. 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.
crawl_site is provided by the Rampify MCP Server MCP server (rampify-dev/rampify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →