update_ai_agent_model

Update AI agent model config (XPack)

SERVER1Panel MCP Server SOURCEeaveluo/1panel-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/eaveluo-1panel-mcp/update-ai-agent-model.md

WHAT IT DOES

What update_ai_agent_model does on 1Panel MCP Server

AI agents use update_ai_agent_model to create or update resources in 1Panel MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 1Panel MCP Server environment.

RISK

Why update_ai_agent_model is rated Medium

This tool modifies AI agent model configuration, which is a reversible change to configuration state. It does not execute arbitrary code (Execute), permanently delete data (Destructive), or move money (Financial). The moderate severity reflects that misconfiguration could affect AI agent behavior and system stability, but the change is reversible.

From the tool's definition Tool name 'update_ai_agent_model' and description 'Update AI agent model config (XPack)' indicate modification of configuration settings for AI agent models. The verb 'Update' explicitly signals a Write operation that modifies existing data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_ai_agent_model safely

PolicyLayer is an MCP gateway: it sits between your AI agents and 1Panel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_ai_agent_model, this is the rule to start with:

update_ai_agent_model Rate-limited

update_ai_agent_model stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_ai_agent_model": {
      "limits": [
        {
          "counter": "update_ai_agent_model_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect 1Panel MCP Server, apply this rule, and every update_ai_agent_model call is checked against it from then on.

FAQ

Questions about update_ai_agent_model

What does the update_ai_agent_model tool do? +

Update AI agent model config (XPack). It is categorised as a Write tool in the 1Panel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_ai_agent_model? +

Register the 1Panel MCP Server MCP server in PolicyLayer and add a rule for update_ai_agent_model: 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 1Panel MCP Server. Nothing to install.

What risk level is update_ai_agent_model? +

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

Can I rate-limit update_ai_agent_model? +

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

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

update_ai_agent_model is provided by the 1Panel MCP Server MCP server (eaveluo/1panel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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