Medium Risk

uep_autopoiesis_plan

UEP autopoiesis plan — structured self-maintenance loop proposal with rollback hooks.

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Part of the aaaa-nexus — Formally Verified AI Safety APIs server.

uep_autopoiesis_plan can modify aaaa-nexus — Formally Verified AI Safety APIs 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 uep_autopoiesis_plan to create or modify resources in aaaa-nexus — Formally Verified AI Safety APIs. 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 uep_autopoiesis_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 aaaa-nexus — Formally Verified AI Safety APIs.

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

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

See the full aaaa-nexus — Formally Verified AI Safety APIs policy for all 27 tools.

Get this rule live on your own aaaa-nexus — Formally Verified AI Safety APIs 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 uep_autopoiesis_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 uep_autopoiesis_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 uep_autopoiesis_plan tool do? +

UEP autopoiesis plan — structured self-maintenance loop proposal with rollback hooks.. It is categorised as a Write tool in the aaaa-nexus — Formally Verified AI Safety APIs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on uep_autopoiesis_plan? +

Register the aaaa-nexus — Formally Verified AI Safety APIs MCP server in PolicyLayer and add a rule for uep_autopoiesis_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 aaaa-nexus — Formally Verified AI Safety APIs. Nothing to install.

What risk level is uep_autopoiesis_plan? +

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

Can I rate-limit uep_autopoiesis_plan? +

Yes. Add a rate_limit block to the uep_autopoiesis_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 uep_autopoiesis_plan completely? +

Set action: deny in the PolicyLayer policy for uep_autopoiesis_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 uep_autopoiesis_plan? +

uep_autopoiesis_plan is provided by the aaaa-nexus — Formally Verified AI Safety APIs MCP server (https://aaaa-nexus.atomadictech.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every aaaa-nexus — Formally Verified AI Safety APIs tool call.

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