Medium Risk

yalidine_delivery

Estimate Yalidine delivery for an Algerian shipment (home/stopdesk) between wilayas.

Part of the Storefront server.

yalidine_delivery 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 yalidine_delivery 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 yalidine_delivery 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": {
    "yalidine_delivery": {
      "limits": [
        {
          "counter": "yalidine_delivery_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access yalidine_delivery 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 yalidine_delivery 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 yalidine_delivery tool do? +

Estimate Yalidine delivery for an Algerian shipment (home/stopdesk) between wilayas.. 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 yalidine_delivery? +

Register the Storefront MCP server in PolicyLayer and add a rule for yalidine_delivery: 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 yalidine_delivery? +

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

Can I rate-limit yalidine_delivery? +

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

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

yalidine_delivery 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.

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