Add a label to an email
AI agents use add_label to create or update resources in Enhanced MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced MCP Server environment.
Adding a label modifies email organization and metadata but does not delete, execute external code, move funds, or permanently destroy data. It is reversible: labels can be removed. This fits the Write category (creates or modifies data reversibly).
From the tool's definition Tool description states 'Add a label to an email' — this creates or modifies email metadata (labels) within Gmail, a reversible operation.
Attacks that exploit this kind of access
Add a label to an email. It is categorised as a Write tool in the Enhanced MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Enhanced MCP Server MCP server in PolicyLayer and add a rule for add_label: 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 Enhanced MCP Server. Nothing to install.
add_label 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 add_label 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 add_label. 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.
add_label is provided by the Enhanced MCP Server MCP server (pbulbule13/mcpwithgoogle). 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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