routine_resume · Yaver MCP: Risk & Policy

WHAT IT DOES

What routine_resume does on Yaver

AI agents use routine_resume to create or update resources in Yaver — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.

PARAMETERS

Parameter	Type	Required	Description
`id`	string	Yes

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why routine_resume needs a policy

An AI agent can call routine_resume faster than any human can review — one bad instruction and it creates or modifies resources in Yaver by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

routine_resume Rate-limited

routine_resume stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "routine_resume": {
      "limits": [
        {
          "counter": "routine_resume_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about routine_resume

What does the routine_resume tool do? +

Resume a paused routine. NextRunAt is recomputed from cron/repeat_interval — a one-shot RunAt that's already in the past will fire on the next tick. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does routine_resume accept? +

routine_resume accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on routine_resume? +

Register the Yaver MCP server in PolicyLayer and add a rule for routine_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 Yaver. Nothing to install.

What risk level is routine_resume? +

routine_resume is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit routine_resume? +

Yes. Add a rate_limit block to the routine_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 routine_resume completely? +

Set action: deny in the PolicyLayer policy for routine_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 routine_resume? +

routine_resume is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.