Medium Risk

resume_agent_schedule

Resume a paused Rolli Agent schedule. next_run_at is recalculated based on the recurrence parameters.

Part of the Rolli server.

resume_agent_schedule can modify Rolli data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use resume_agent_schedule to create or modify resources in Rolli. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call resume_agent_schedule repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Rolli.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "resume_agent_schedule": {
      "limits": [
        {
          "counter": "resume_agent_schedule_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access resume_agent_schedule gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so resume_agent_schedule only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the resume_agent_schedule tool do? +

Resume a paused Rolli Agent schedule. next_run_at is recalculated based on the recurrence parameters.. It is categorised as a Write tool in the Rolli MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resume_agent_schedule? +

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

What risk level is resume_agent_schedule? +

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

Can I rate-limit resume_agent_schedule? +

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

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

resume_agent_schedule is provided by the Rolli MCP server (@rolli/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Rolli tool call.

Deterministic rules across all 30 Rolli tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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