Apply labels to one or more messages.
AI agents use gmail_apply_labels to create or update resources in AIOS Co-Founder MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AIOS Co-Founder MCP environment.
This tool modifies message state by adding labels (tags) to Gmail messages, which is a reversible write operation. It does not delete messages or execute arbitrary actions, making it Write rather than Destructive or Execute. Severity is medium because mass label application could clutter the inbox or cause organizational confusion, but the action is reversible.
From the tool's definition Tool name 'gmail_apply_labels' and description 'Apply labels to one or more messages' indicates modification of message metadata. Labels in Gmail are tags/categories applied to messages that change how they are organized and filtered.
Attacks that exploit this kind of access
Apply labels to one or more messages. It is categorised as a Write tool in the AIOS Co-Founder MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AIOS Co-Founder MCP server in PolicyLayer and add a rule for gmail_apply_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 AIOS Co-Founder MCP. Nothing to install.
gmail_apply_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_apply_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_apply_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_apply_labels is provided by the AIOS Co-Founder MCP server (varun-b-nagaraj/python-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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