Force trigger a GoodJob cron schedule immediately. Enqueues a new job for the specified cron schedule regardless of its normal schedule. Use cases: - Manually trigger a cron job for testing - Force an immediate run of a periodic job - Re-run a cron job that was missed
AI agents invoke force_trigger_good_job_cron to trigger actions in Pointsyeah. 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.
This tool forcibly enqueues and executes background jobs outside their normal schedule. It triggers external operations (job execution) whose effects depend on which cron job is specified. Since cron jobs can have wide-ranging side effects (data modification, external API calls, etc.), misuse could have significant blast radius. This is clearly Execute category — running/triggering external operations.
From the tool's definition Force trigger a GoodJob cron schedule immediately. Enqueues a new job for the specified cron schedule regardless of its normal schedule.
Attacks that exploit this kind of access
Force trigger a GoodJob cron schedule immediately. Enqueues a new job for the specified cron schedule regardless of its normal schedule. Use cases: - Manually trigger a cron job for testing - Force an immediate run of a periodic job - Re-run a cron job that was missed. It is categorised as a Execute tool in the Pointsyeah MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pointsyeah MCP server in PolicyLayer and add a rule for force_trigger_good_job_cron: 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 Pointsyeah. Nothing to install.
force_trigger_good_job_cron is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the force_trigger_good_job_cron 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 force_trigger_good_job_cron. 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.
force_trigger_good_job_cron is provided by the Pointsyeah MCP server (slack-workspace-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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