forward_email
Forward an email to other recipients.
This record as markdown: /tools/freshdesk/forward-email.md
What forward_email does on Freshdesk
AI agents invoke forward_email to trigger actions in Freshdesk. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why forward_email is rated High
Forwarding an email triggers an external operation (sending an email to new recipients), which is an irreversible action with real-world side effects. It doesn't just read or write data internally — it dispatches communication externally. This could leak sensitive support ticket information to unintended parties if misused, making severity high.
From the tool's definition Forward an email to other recipients
Attacks that exploit this kind of access
The rule that runs forward_email safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freshdesk, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For forward_email, this is the rule to start with:
forward_email stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Freshdesk, apply this rule, and every forward_email call is checked against it from then on.
Questions about forward_email
Forward an email to other recipients. It is categorised as a Execute tool in the Freshdesk MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Freshdesk MCP server in PolicyLayer and add a rule for forward_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 Freshdesk. Nothing to install.
forward_email is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the forward_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 forward_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.
forward_email is provided by the Freshdesk MCP server (@mindstone-engineering/mcp-server-freshdesk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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