Medium Risk

manage_profiles

manage_profiles

How to control manage_profiles ↓

What manage_profiles does on Automagik Tools

AI agents use manage_profiles to create or update resources in Automagik Tools — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Automagik Tools environment.

Medium Risk

Why manage_profiles needs a policy

The name indicates write operations (manage implies modify/create). Without a detailed description, confidence is reduced but the semantic meaning of 'manage' in API contexts usually maps to Write rather than Read or Execute. Severity is medium because profile modification could affect system behavior or access controls, but without knowing the specific API or profile scope, full blast radius is unclear.

From the tool's definition Tool name 'manage_profiles' suggests creation or modification of profile data. Description is empty, limiting confidence.

Documented attack patterns abuse exactly the kind of access manage_profiles gives an agent:

How to control manage_profiles

PolicyLayer is an MCP gateway — it sits between your AI agents and Automagik Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for manage_profiles:

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

manage_profiles 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.

  1. Create a free account and register Automagik Tools — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about manage_profiles

What does the manage_profiles tool do? +

manage_profiles. It is categorised as a Write tool in the Automagik Tools MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_profiles? +

Register the Automagik Tools MCP server in PolicyLayer and add a rule for manage_profiles: 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 Automagik Tools. Nothing to install.

What risk level is manage_profiles? +

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

Can I rate-limit manage_profiles? +

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

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

manage_profiles is provided by the Automagik Tools MCP server (namastexlabs/automagik-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Automagik Tools tool call.

Start from Automagik Tools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

122 Automagik Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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