Medium Risk

chieflab_send_approved_email

[chieflab_* alias of chiefmo_send_approved_email] Send an approved launch email through the email sending rail (current adapter: resend). USE WHEN the user has approved an email publishAction from chiefmo_launch_product and you need to fire the send. Strict approval gate (same shape as chiefmo_pu...

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Part of the ChiefLab server.

chieflab_send_approved_email can modify ChiefLab data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use chieflab_send_approved_email to create or modify resources in ChiefLab. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call chieflab_send_approved_email repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach ChiefLab.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chieflab_send_approved_email": {
      "limits": [
        {
          "counter": "chieflab_send_approved_email_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full ChiefLab policy for all 45 tools.

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These attack patterns abuse exactly the kind of access chieflab_send_approved_email gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so chieflab_send_approved_email only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the chieflab_send_approved_email tool do? +

[chieflab_* alias of chiefmo_send_approved_email] Send an approved launch email through the email sending rail (current adapter: resend). USE WHEN the user has approved an email publishAction from chiefmo_launch_product and you need to fire the send. Strict approval gate (same shape as chiefmo_publish_approved_post). from MUST be on a domain verified at the adapter (resend.com) — check chieflab_list_email_senders first. Single recipient or short list (≤50). Money/external-system action — once sent cannot be unsent.. It is categorised as a Write tool in the ChiefLab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on chieflab_send_approved_email? +

Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_send_approved_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 ChiefLab. Nothing to install.

What risk level is chieflab_send_approved_email? +

chieflab_send_approved_email is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit chieflab_send_approved_email? +

Yes. Add a rate_limit block to the chieflab_send_approved_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.

How do I block chieflab_send_approved_email completely? +

Set action: deny in the PolicyLayer policy for chieflab_send_approved_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.

What MCP server provides chieflab_send_approved_email? +

chieflab_send_approved_email is provided by the ChiefLab MCP server (@chieflab/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ChiefLab tool call.

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