deploy_resume · Run402 MCP: Risk & Policy

WHAT IT DOES

What deploy_resume does on Run402

AI agents invoke deploy_resume to trigger actions in Run402. 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_resume needs a policy

Resuming a deployment is an Execute action—it triggers infrastructure provisioning, service updates, or code rollouts with effects that depend on deployment arguments and cannot be trivially reversed. While not Destructive (deployments are generally reversible via rollback), it has significant blast radius in an autonomous agent context, warranting high severity.

From the tool's definition Tool name 'deploy_resume' indicates resuming a deployment operation; server context 'Autonomous infra for Coding Agents' shows infrastructure management; deployment operations trigger external infrastructure changes whose effects depend on what was previously…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deploy_resume Rate-limited

deploy_resume 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_resume": {
      "limits": [
        {
          "counter": "deploy_resume_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 Run402, so you can run agents against it safely.

FAQ

Questions about deploy_resume

What does the deploy_resume tool do? +

Resume a deploy operation that ended in. It is categorised as a Execute tool in the Run402 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_resume? +

Register the Run402 MCP server in PolicyLayer and add a rule for deploy_resume: 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 Run402. Nothing to install.

What risk level is deploy_resume? +

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

Can I rate-limit deploy_resume? +

Yes. Add a rate_limit block to the deploy_resume 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_resume completely? +

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

deploy_resume is provided by the Run402 MCP server (kychee-com/run402). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.