Medium Risk

agents_approve_draft

Approve a pending agent draft and send the message. The draft will be sent to the conversation it was generated for. You can optionally edit the text before sending. Use this when user says: - 'Approve this draft' - 'Send this reply' - 'Approve and send' - 'Looks good, send it' IMPORTANT: This wi...

Part of the Dialogbrain server.

agents_approve_draft can modify Dialogbrain 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 agents_approve_draft to create or modify resources in Dialogbrain. 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 agents_approve_draft 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 Dialogbrain.

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

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

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These attack patterns abuse exactly the kind of access agents_approve_draft 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 agents_approve_draft 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 agents_approve_draft tool do? +

Approve a pending agent draft and send the message. The draft will be sent to the conversation it was generated for. You can optionally edit the text before sending. Use this when user says: - 'Approve this draft' - 'Send this reply' - 'Approve and send' - 'Looks good, send it' IMPORTANT: This will send a message to a real person.. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agents_approve_draft? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for agents_approve_draft: 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 Dialogbrain. Nothing to install.

What risk level is agents_approve_draft? +

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

Can I rate-limit agents_approve_draft? +

Yes. Add a rate_limit block to the agents_approve_draft 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 agents_approve_draft completely? +

Set action: deny in the PolicyLayer policy for agents_approve_draft. 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 agents_approve_draft? +

agents_approve_draft is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dialogbrain tool call.

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