divide · Study MCP: Risk & Policy

WHAT IT DOES

What divide does on Study

AI agents invoke divide 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 divide needs a policy

Division is a computation/execution of an operation. It poses minimal risk (low severity), though edge cases like division by zero could cause errors. No data is read, written, or destroyed. Confidence is slightly reduced because the description is minimal and doesn't clarify input constraints.

From the tool's definition "Divide two numbers" — performs arithmetic division

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

divide Rate-limited

divide 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": {
    "divide": {
      "limits": [
        {
          "counter": "divide_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 divide

What does the divide tool do? +

Divide 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 divide? +

Register the Study MCP server in PolicyLayer and add a rule for divide: 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 divide? +

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

Can I rate-limit divide? +

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

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

divide 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.