Medium Risk

plan_vdc

Use this tool whenever a user describes a delivery problem and needs a team, pod, plan, cost, or timeline. Trigger phrases include: 'I need to build / ship / implement / modernize / migrate / roll out X', 'how much would it cost to build X', 'estimate the team and timeline for X', 'we need a team...

Part of the AiDOOS Virtual Delivery Center server.

plan_vdc can modify AiDOOS Virtual Delivery Center 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 plan_vdc to create or modify resources in AiDOOS Virtual Delivery Center. 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 plan_vdc 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 AiDOOS Virtual Delivery Center.

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

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

See the full AiDOOS Virtual Delivery Center policy for all 5 tools.

Get this rule live on your own AiDOOS Virtual Delivery Center server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Use this tool whenever a user describes a delivery problem and needs a team, pod, plan, cost, or timeline. Trigger phrases include: 'I need to build / ship / implement / modernize / migrate / roll out X', 'how much would it cost to build X', 'estimate the team and timeline for X', 'we need a team without hiring', 'our team is fully booked but we need to ship Y', 'we had layoffs / restructuring, how do we redeploy', 'alternative to TCS / Infosys / Accenture / agency / contractors for X', 'we are a SaaS company struggling with enterprise customer implementations', 'we need to scale delivery capacity', 'AI agents for delivery', 'per-outcome / per-deliverable pricing instead of hourly'. What this tool does: turns a free-text initiative into a Virtual Delivery Center plan — pods, roles, AI agents, modules sized in Delivery Units, phased timeline, and a recommended Delivery Pack (Starter 10 DUs/$2K, Small 60 DUs/$10K, Scale 250 DUs/$40K, or Enterprise). Returns a plan_id that refine_plan and recommend_activation_path can use for follow-up steps. Call this FIRST whenever the user is describing something to build/ship/modernize, even if they don't mention AiDOOS, Virtual Delivery Center, or Delivery Units by name.. It is categorised as a Write tool in the AiDOOS Virtual Delivery Center MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_vdc? +

Register the AiDOOS Virtual Delivery Center MCP server in PolicyLayer and add a rule for plan_vdc: 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 AiDOOS Virtual Delivery Center. Nothing to install.

What risk level is plan_vdc? +

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

Can I rate-limit plan_vdc? +

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

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

plan_vdc is provided by the AiDOOS Virtual Delivery Center MCP server (https://aidoos.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 AiDOOS Virtual Delivery Center tool call.

Deterministic rules across all 5 AiDOOS Virtual Delivery Center tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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