AI agents use gmail_modify_email to create or update resources in Mcp Gmail — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Gmail environment.
Modifying emails is a reversible Write operation that changes existing data. Severity is high because email modification could alter correspondence, mislead recipients, or violate data integrity—especially with auto-authentication removing user interaction barriers. Confidence is 0.85 rather than higher due to empty description; however, the function name is unambiguous enough to classify with reasonable certainty.
From the tool's definition Tool name 'gmail_modify_email' indicates modification of email content or metadata. The server is 'Mcp Gmail' with 'auto authentication support', confirming email access capability. Description is empty, limiting precision.
Attacks that exploit this kind of access
gmail_modify_email. It is categorised as a Write tool in the Mcp Gmail MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Gmail MCP server in PolicyLayer and add a rule for gmail_modify_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 Gmail. Nothing to install.
gmail_modify_email is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gmail_modify_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 gmail_modify_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.
gmail_modify_email is provided by the Mcp Gmail MCP server (@monsoft/mcp-gmail). 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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