Medium Risk

autopilot_approve_plan

Approve all pending items in an autopilot plan, or approve/reject individual items. After approval, use autopilot_execute_plan to schedule the approved posts.

Part of the SendIt server.

autopilot_approve_plan can modify SendIt 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 autopilot_approve_plan to create or modify resources in SendIt. 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 autopilot_approve_plan 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 SendIt.

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

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

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

Approve all pending items in an autopilot plan, or approve/reject individual items. After approval, use autopilot_execute_plan to schedule the approved posts.. It is categorised as a Write tool in the SendIt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on autopilot_approve_plan? +

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

What risk level is autopilot_approve_plan? +

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

Can I rate-limit autopilot_approve_plan? +

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

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

autopilot_approve_plan is provided by the SendIt MCP server (https://sendit.infiniteappsai.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 SendIt tool call.

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