This record as markdown: /tools/io-github-portel-dev-ncp/send-email.md
What send_email does on Ncp
AI agents use send_email to create or update resources in Ncp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ncp environment.
Why send_email is rated Medium
This tool creates new email messages and sends them, constituting a Write operation as it produces a persistent, reversible side effect. Severity is medium because sending unwanted emails could cause reputational harm or be used for spam/phishing, but the action is reversible (emails can be recalled or marked as spam).
From the tool's definition Tool name 'send_email' and description 'Send email via Gmail' indicate the tool creates and sends email messages, which modifies state in an external system (Gmail).
Attacks that exploit this kind of access
The rule that runs send_email safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For send_email, this is the rule to start with:
send_email 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 Ncp, apply this rule, and every send_email call is checked against it from then on.
Questions about send_email
Send email via Gmail. It is categorised as a Write tool in the Ncp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ncp MCP server in PolicyLayer and add a rule for send_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 Ncp. Nothing to install.
send_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 send_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 send_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.
send_email is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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