batch-update-emails
Modify multiple emails labels/status. Returns: empty on success (no response body). Use when: bulk operations on many emails. Limit: 1000 IDs per request. For single: use update-email.
This record as markdown: /tools/199-biotechnologies-mcp-google/batch-update-emails.md
What batch-update-emails does on MCP Google Workspace
AI agents use batch-update-emails to create or update resources in MCP Google Workspace, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Google Workspace environment.
Why batch-update-emails is rated Medium
This tool creates or modifies email data reversibly (updating labels and status are non-destructive operations that can be undone). While it affects many records at scale (up to 1000), the modifications are reversible, preventing it from being classified as Destructive.
From the tool's definition Tool description states 'Modify multiple emails labels/status' and 'bulk operations on many emails' with capacity for up to 1000 IDs per request. The word 'Modify' indicates data mutation rather than retrieval.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs batch-update-emails safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Google Workspace, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For batch-update-emails, this is the rule to start with:
batch-update-emails stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Google Workspace, apply this rule, and every batch-update-emails call is checked against it from then on.
Questions about batch-update-emails
Modify multiple emails labels/status. Returns: empty on success (no response body). Use when: bulk operations on many emails. Limit: 1000 IDs per request. For single: use update-email. It is categorised as a Write tool in the MCP Google Workspace MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Google Workspace MCP server in PolicyLayer and add a rule for batch-update-emails: 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 Google Workspace. Nothing to install.
batch-update-emails 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 batch-update-emails 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 batch-update-emails. 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.
batch-update-emails is provided by the MCP Google Workspace MCP server (199-mcp/mcp-google). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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