AI agents use schedule_task 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
cron | string | — | Cron expression (minute hour day month weekday), e.g. '0 9 * * 1-5' for weekdays at 9am |
title | string | Yes | Task prompt |
run_at | string | — | ISO8601 datetime for one-shot execution (e.g. '2026-03-22T15:00:00Z') |
runner | string | — | Runner ID (claude, codex, aider, etc.) |
max_runs | integer | — | Maximum number of runs (0 = unlimited) |
repeat_interval | integer | — | Repeat every N minutes |
Parameters from the server's own tool schema.
An AI agent can call schedule_task 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
Schedule a task to run at a specific time or on a recurring basis. Supports one-shot (runAt), interval-based (repeatInterval in minutes), and cron expressions. 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.
schedule_task accepts 6 parameters: cron, title, run_at, runner, max_runs, repeat_interval. Required: title. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for schedule_task: 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.
schedule_task is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the schedule_task 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.
Set action: deny in the PolicyLayer policy for schedule_task. 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.
schedule_task 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.