maker_save_artifact

THE RISK

Medium Risk

Why maker_save_artifact needs a policy

The tool saves user-generated content (artifacts like Blockly workspaces or drawings) to persistent storage. This is a Write operation because it creates or modifies data without irreversible deletion. Severity is medium because unauthorized artifact saving could pollute a project with unwanted or malicious content, but the action is reversible (artifacts can be deleted or overwritten).

From the tool's definition Tool name 'maker_save_artifact' and description 'Save a learner-produced artifact' indicate the tool creates or modifies data (workspace XML, drawings) in a reversible manner.

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

POLICY

How to control maker_save_artifact

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

policy.json

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

maker_save_artifact 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.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about maker_save_artifact

What does the maker_save_artifact tool do? +

Save a learner-produced artifact (e.g. Blockly workspace XML, drawing). Guest sessions return a friendly. It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on maker_save_artifact? +

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

What risk level is maker_save_artifact? +

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

Can I rate-limit maker_save_artifact? +

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

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

maker_save_artifact is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

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

CHECK YOUR STACK →