Add a new site to your Google Search Console account.
AI agents use add_site to create or update resources in Google Search Console Mcp Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Search Console Mcp Python environment.
This tool creates a new site resource in Google Search Console, which is a reversible Write operation. While adding a site doesn't directly modify existing data or delete anything, it does add a new managed property to the user's account. Severity is medium because misconfiguration could lead to monitoring unintended sites or account sprawl, but the operation itself is reversible (sites can be removed from GSC).
From the tool's definition Tool description states 'Add a new site to your Google Search Console account.' The verb 'Add' indicates creation of a new resource (a site entry in GSC).
Attacks that exploit this kind of access
Add a new site to your Google Search Console account. It is categorised as a Write tool in the Google Search Console Mcp Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Search Console Mcp Python MCP server in PolicyLayer and add a rule for add_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 Google Search Console Mcp Python. Nothing to install.
add_site is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_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 add_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.
add_site is provided by the Google Search Console Mcp Python MCP server (locomotive-agency/google-search-console-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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