multiply · Study MCP: Risk & Policy

WHAT IT DOES

What multiply does on Study

AI agents invoke multiply to trigger actions in Study. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why multiply needs a policy

Multiplying two numbers is a computational operation with no side effects on external systems or data. It falls under Execute as it performs a calculation, though the blast radius is extremely low since it only processes numeric inputs and returns a result without modifying any state.

From the tool's definition "Multiply two numbers" — performs a mathematical computation/operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

multiply Rate-limited

multiply stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "multiply": {
      "limits": [
        {
          "counter": "multiply_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Study, so you can run agents against it safely.

FAQ

Questions about multiply

What does the multiply tool do? +

Multiply two numbers. It is categorised as a Execute tool in the Study MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on multiply? +

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

What risk level is multiply? +

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

Can I rate-limit multiply? +

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

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

multiply is provided by the Study MCP server (lucs1590/study-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.