Medium Risk

order_risk

Score the fraud/return risk of an Algerian COD order from its signals (phone, history, etc.) — Mystoq FakeShield logic.

Part of the Storefront server.

order_risk can modify Storefront 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 order_risk to create or modify resources in Storefront. 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 order_risk 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 Storefront.

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

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

See the full Storefront policy for all 12 tools.

Get this rule live on your own Storefront 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 order_risk 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 order_risk 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 order_risk tool do? +

Score the fraud/return risk of an Algerian COD order from its signals (phone, history, etc.) — Mystoq FakeShield logic.. It is categorised as a Write tool in the Storefront MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on order_risk? +

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

What risk level is order_risk? +

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

Can I rate-limit order_risk? +

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

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

order_risk is provided by the Storefront MCP server (https://mystoq.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Storefront tool call.

Deterministic rules across all 12 Storefront tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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