AI agents use gmail_modify_labels to create or update resources in Access — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Access environment.
This tool creates or modifies Gmail message metadata reversibly (labels can be added or removed). It does not delete data or execute arbitrary code. The impact is localized to label state on a single message.
From the tool's definition Tool performs 'Add or remove Gmail labels on a message' — modifies message state by adding/removing labels. Description explicitly states label operations that change message attributes.
Attacks that exploit this kind of access
Add or remove Gmail labels on a message. Use this to mark messages as read (remove. It is categorised as a Write tool in the Access MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Access MCP server in PolicyLayer and add a rule for gmail_modify_labels: 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 Access. Nothing to install.
gmail_modify_labels 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_labels 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_labels. 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_labels is provided by the Access MCP server (scottpedia0/access). 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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