Retrieves given email content
AI agents call read-email to retrieve information from Gmail 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 email content without creating, modifying, or deleting data. It is a straightforward read operation that queries existing email information. The low severity reflects minimal risk—the primary concern would be unauthorized access to sensitive email content, but the tool itself performs no destructive or system-altering actions.
From the tool's definition Tool name 'read-email' and description 'Retrieves given email content' clearly indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Retrieves given email content. It is categorised as a Read tool in the Gmail MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Gmail MCP Server MCP server in PolicyLayer and add a rule for read-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 Gmail MCP Server. Nothing to install.
read-email 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 read-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.
Set action: deny in the PolicyLayer policy for read-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.
read-email is provided by the Gmail MCP Server MCP server (jmonsellier/gmail-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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