AI agents use send_email to create or update resources in xigua-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your xigua-MCP environment.
The tool creates and sends email messages, which modifies external email system state. This is categorized as Write rather than Execute because sending email is a discrete communication action, not arbitrary code execution. Severity is medium because misuse could send emails to unintended recipients or with harmful content, but the action is reversible through email deletion/recall mechanisms.
From the tool's definition send_email tool with description '发送邮件工具' (send email tool) - creates and transmits email messages, a reversible write operation.
Attacks that exploit this kind of access
发送邮件工具。. It is categorised as a Write tool in the xigua-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the xigua- 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 xigua-MCP. 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 xigua- MCP server (xiguaxiaome/xigua-mcp). 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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