High Risk →

price_history

View stored price history for a product with trend analysis (rising/falling/stable). Tracks min, max, average prices over time. Call track_price first to build up history data.

Risk signalsAccepts freeform code/query input (query)

Part of the Shoporacle server.

price_history can trigger actions in Shoporacle, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke price_history to trigger processes or run actions in Shoporacle. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

price_history can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "price_history": {
      "limits": [
        {
          "counter": "price_history_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Shoporacle policy for all 11 tools.

Get this rule live on your own Shoporacle server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 11 tools →

These attack patterns abuse exactly the kind of access price_history 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 price_history only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the price_history tool do? +

View stored price history for a product with trend analysis (rising/falling/stable). Tracks min, max, average prices over time. Call track_price first to build up history data.. It is categorised as a Execute tool in the Shoporacle MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on price_history? +

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

What risk level is price_history? +

price_history is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit price_history? +

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

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

price_history is provided by the Shoporacle MCP server (https://tooloracle.io/shop/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Shoporacle tool call.

Deterministic rules across all 11 Shoporacle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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