deploy_mock · RequestBin MCP Server MCP: Risk & Policy

WHAT IT DOES

What deploy_mock does on RequestBin MCP Server

AI agents invoke deploy_mock to trigger actions in RequestBin MCP Server. 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 deploy_mock needs a policy

The tool triggers external operations (publishing to live servers, cache invalidation) whose effects depend on the current rule set configuration. This is an Execute action because it causes side effects on external systems beyond simple data modification.

From the tool's definition Tool description states it will 'Publish the current rule set of a mock endpoint to the live mock server' and 'invalidates edge caches'. This is a deployment/publication action that modifies live infrastructure state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deploy_mock Rate-limited

deploy_mock 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": {
    "deploy_mock": {
      "limits": [
        {
          "counter": "deploy_mock_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 RequestBin MCP Server, so you can run agents against it safely.

FAQ

Questions about deploy_mock

What does the deploy_mock tool do? +

Publish the current rule set of a mock endpoint to the live mock server. Bumps the configVersion and invalidates edge caches so new requests see the latest rules. It is categorised as a Execute tool in the RequestBin MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deploy_mock? +

Register the RequestBin MCP Server MCP server in PolicyLayer and add a rule for deploy_mock: 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 RequestBin MCP Server. Nothing to install.

What risk level is deploy_mock? +

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

Can I rate-limit deploy_mock? +

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

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

deploy_mock is provided by the RequestBin MCP Server MCP server (requestbin/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.