vibecontrols_scheduler_jobs_update
Update a scheduled job (cron expression, executor config, retry policy, etc.). At least one field must be provided. Returns the updated ScheduledJob.
This record as markdown: /tools/vibecontrols-mcp/vibecontrols-scheduler-jobs-update.md
What vibecontrols_scheduler_jobs_update does on Vibecontrols
AI agents use vibecontrols_scheduler_jobs_update to create or update resources in Vibecontrols, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vibecontrols environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Job ID |
name | string | — | Updated job name |
endDate | string | — | Updated end date (ISO-8601) |
interval | integer | — | Updated interval (INTERVAL jobs only) |
maxRetries | integer | — | Max retry attempts on failure |
description | string | — | Updated description |
changeReason | string | — | Audit-trail reason for the change |
intervalUnit | string | — | Interval unit (SECONDS|MINUTES|HOURS|DAYS, will be uppercased) |
cronExpression | string | — | Updated cron expression (CRON jobs only) |
executorConfig | object | — | Updated executor configuration |
Parameters from the server's own tool schema.
Why vibecontrols_scheduler_jobs_update is rated Medium
An AI agent can call vibecontrols_scheduler_jobs_update faster than any human can review: one bad instruction and it creates or modifies resources in Vibecontrols by the hundred, each call as confident as the last.
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs vibecontrols_scheduler_jobs_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vibecontrols, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vibecontrols_scheduler_jobs_update, this is the rule to start with:
vibecontrols_scheduler_jobs_update 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Vibecontrols, apply this rule, and every vibecontrols_scheduler_jobs_update call is checked against it from then on.
Questions about vibecontrols_scheduler_jobs_update
Update a scheduled job (cron expression, executor config, retry policy, etc.). At least one field must be provided. Returns the updated ScheduledJob. It is categorised as a Write tool in the Vibecontrols MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
vibecontrols_scheduler_jobs_update accepts 10 parameters: id, name, endDate, interval, maxRetries, description, changeReason, intervalUnit, cronExpression, executorConfig. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Vibecontrols MCP server in PolicyLayer and add a rule for vibecontrols_scheduler_jobs_update: 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 Vibecontrols. Nothing to install.
vibecontrols_scheduler_jobs_update 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 vibecontrols_scheduler_jobs_update 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 vibecontrols_scheduler_jobs_update. 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.
vibecontrols_scheduler_jobs_update is provided by the Vibecontrols MCP server (@vibecontrols/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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