Get stored decision-making styles
AI agents call get_decision_styles 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 previously stored decision-making style preferences from a personal memory system. It performs a read-only query operation with no capability to modify, delete, or execute external actions. The data returned is user preference information with minimal sensitive implications. Confidence is high due to clear retrieval semantics and benign nature of the operation.
From the tool's definition Tool name 'get_decision_styles' uses verb 'get', and description states 'Get stored decision-making styles' - both indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get stored decision-making styles. 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_decision_styles: 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_decision_styles 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_decision_styles 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_decision_styles. 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_decision_styles 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.
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