Get ALL stored information about the user - complete memory dump. Use this at start of conversations.
AI agents call get_everything_about_user to retrieve information from Google Workspace MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves stored data without side effects, placing it in the Read category. However, severity is high because it exposes a complete memory dump containing potentially sensitive personal information (preferences, behaviors, goals, email templates, education history, interview notes, job applications, and contact details). An AI agent with unrestricted access could exfiltrate comprehensive personal data.
From the tool's definition Tool name is 'get_everything_about_user' and description states 'Get ALL stored information about the user - complete memory dump.' This is explicitly a retrieval operation with no modification or deletion.
Attacks that exploit this kind of access
Get ALL stored information about the user - complete memory dump. Use this at start of conversations. It is categorised as a Read tool in the Google Workspace MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Google Workspace MCP Server MCP server in PolicyLayer and add a rule for get_everything_about_user: 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 Workspace MCP Server. Nothing to install.
get_everything_about_user 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 get_everything_about_user 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 get_everything_about_user. 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.
get_everything_about_user is provided by the Google Workspace MCP Server MCP server (pbulbule13/google-mcp-server). 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.
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