Suggest an available time slot of the given duration.
AI agents call suggest_time to retrieve information from Google Workspace Mcp Sidecar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes existing calendar data to suggest free time slots. It does not create, modify, delete, execute code, or trigger external operations. Even though it performs computation (availability analysis), that is analysis of read-only data. No calendar events are created, modified, or deleted by suggestion alone.
From the tool's definition Tool name is 'suggest_time' and description states it suggests 'an available time slot' — a retrieval/query operation with no side effects. It queries calendar availability data to recommend times, analogous to 'get' or 'fetch' operations.
Attacks that exploit this kind of access
Suggest an available time slot of the given duration. It is categorised as a Read tool in the Google Workspace Mcp Sidecar MCP Server, which means it retrieves data without modifying state.
Register the Google Workspace Mcp Sidecar MCP server in PolicyLayer and add a rule for suggest_time: 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 Sidecar. Nothing to install.
suggest_time 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 suggest_time 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 suggest_time. 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.
suggest_time is provided by the Google Workspace Mcp Sidecar MCP server (milad/google-mcp-sidecar). 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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