add · Study MCP: Risk & Policy

WHAT IT DOES

What add does on Study

AI agents invoke add 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 add needs a policy

This tool executes a computation (addition of two numbers). It has no side effects, data storage, or destructive potential. Severity is low as the blast radius of misuse is negligible — at worst an incorrect sum is returned. Classified as Execute rather than Read because it performs a calculation rather than retrieving stored data.

From the tool's definition 'Add two numbers' — performs an arithmetic operation (addition)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add Rate-limited

add 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": {
    "add": {
      "limits": [
        {
          "counter": "add_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 add

What does the add tool do? +

Add 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 add? +

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

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

Can I rate-limit add? +

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

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

add 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.