DESTRUCTIVE if confirm=true (sends notifications to Lark/Telegram). Defaults to dry-run preview.
AI agents invoke digest_run to trigger actions in MCP Email Service. 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.
When confirm=true, this tool executes external side-effecting operations by dispatching notifications to Lark and/or Telegram. This qualifies as Execute (triggering external operations), not Destructive in the data-deletion sense.
From the tool's definition 'sends notifications to Lark/Telegram' and 'DESTRUCTIVE if confirm=true' — triggers external operations (outbound notifications to third-party platforms) when confirm=true; defaults to dry-run preview
Documented attack patterns abuse exactly the kind of access digest_run gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Email Service, and nothing reaches the server without passing your rules. This is the rule we recommend for digest_run:
{
"version": "1",
"default": "deny",
"tools": {
"digest_run": {
"limits": [
{
"counter": "digest_run_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} digest_run 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.
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DESTRUCTIVE if confirm=true (sends notifications to Lark/Telegram). Defaults to dry-run preview. It is categorised as a Execute tool in the MCP Email Service MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Email Service MCP server in PolicyLayer and add a rule for digest_run: 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 Email Service. Nothing to install.
digest_run 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 digest_run 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 digest_run. 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.
digest_run is provided by the MCP Email Service MCP server (leeguooooo/mailbox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Email Service, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 MCP Email Service tools catalogued and risk-classified — across an index of 43,000+ MCP servers.