Low Risk

gmail_query_emails

Query Gmail emails based on an optional search query. Returns emails in reverse chronological order (newest first). Returns metadata such as subject and also a short summary of the content.

How to control gmail_query_emails ↓

What gmail_query_emails does on MCP Google Workspace Server

AI agents call gmail_query_emails to retrieve information from MCP Google Workspace Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why gmail_query_emails needs a policy

gmail_query_emails retrieves and searches existing email data without creating, modifying, deleting, or executing operations. It is a standard read/query operation with no side effects.

From the tool's definition Tool performs a query operation that 'returns emails' with metadata and summaries. The verb 'Query' and the read-only nature of retrieving email data with 'Returns' indicates no modification, deletion, or execution of code.

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

How to control gmail_query_emails

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_query_emails:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gmail_query_emails": {}
  }
}

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

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

Free to start. No card required.

Related tools and policies

Go deeper

Questions about gmail_query_emails

What does the gmail_query_emails tool do? +

Query Gmail emails based on an optional search query. Returns emails in reverse chronological order (newest first). Returns metadata such as subject and also a short summary of the content. 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_query_emails? +

Register the MCP Google Workspace Server MCP server in PolicyLayer and add a rule for gmail_query_emails: 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_query_emails? +

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

Can I rate-limit gmail_query_emails? +

Yes. Add a rate_limit block to the gmail_query_emails 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_query_emails completely? +

Set action: deny in the PolicyLayer policy for gmail_query_emails. 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_query_emails? +

gmail_query_emails 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.

Free to start. No card required.

16 MCP Google Workspace Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.