gmail_get_email

THE RISK

Low Risk

Why gmail_get_email needs a policy

This tool performs a read-only operation that queries and returns email data. It has no capability to modify, delete, or execute actions. The only potential risk is information disclosure if the AI agent accesses emails it shouldn't, but that is a data access control concern rather than a tool capability concern.

From the tool's definition Tool name 'gmail_get_email' and description 'Retrieves a complete Gmail email message by its ID' indicate data retrieval with no modification or side effects.

Documented attack patterns abuse exactly the kind of access gmail_get_email gives an agent:

POLICY

How to control gmail_get_email

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Google Workspace Server, and nothing reaches the server without passing your rules. This is the rule we recommend for gmail_get_email:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gmail_get_email": {}
  }
}

gmail_get_email is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP Google Workspace Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More MCP Google Workspace Server tools

Destructive calendar_delete_event Deletes an event from the specified Google Calendar. Destructive gmail_delete_draft Deletes a Gmail draft message by its ID. This action cannot be undone. Write calendar_create_event Creates a new event in the specified Google Calendar. Write gmail_archive Archives a Gmail message by removing it from the inbox. Write gmail_bulk_archive Archives multiple Gmail messages by removing them from the inbox. Write gmail_bulk_save_attachments Saves multiple Gmail attachments to disk by their message IDs and attachment IDs in a sing Write gmail_create_draft Creates a draft email message from scratch in Gmail with specified recipient, subject, bod Read calendar_get_events Retrieves calendar events from the user\

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about gmail_get_email

What does the gmail_get_email tool do? +

Retrieves a complete Gmail email message by its ID, including the full message body and attachment IDs. It is categorised as a Read tool in the MCP Google Workspace Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gmail_get_email? +

Register the MCP Google Workspace Server MCP server in PolicyLayer and add a rule for gmail_get_email: 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 MCP Google Workspace Server. Nothing to install.

What risk level is gmail_get_email? +

gmail_get_email is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gmail_get_email? +

Yes. Add a rate_limit block to the gmail_get_email 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.

How do I block gmail_get_email completely? +

Set action: deny in the PolicyLayer policy for gmail_get_email. 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.

What MCP server provides gmail_get_email? +

gmail_get_email is provided by the MCP Google Workspace Server MCP server (j3k0/mcp-google-workspace). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Google Workspace Server tool call.

Start from MCP Google Workspace Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →