discard_good_job

Discard a GoodJob background job. Marks the job as discarded so it will not be retried. Use cases: - Discard a job that is no longer needed - Stop a failing job from being retried - Clean up jobs that are stuck or obsolete

Server Pointsyeah slack-workspace-mcp-server
Category Destructive
Risk class Critical
Parameters 00 required

What discard_good_job does on Pointsyeah

AI agents call discard_good_job to permanently remove resources in Pointsyeah — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why discard_good_job needs a policy

Discarding a background job is irreversible — once marked as discarded, the job will not be retried and any pending work it was meant to perform is permanently abandoned. This matches the Destructive category as the action cannot be undone.

From the tool's definition Discard a GoodJob background job. Marks the job as discarded so it will not be retried.

Questions about discard_good_job

What does the discard_good_job tool do? +

Discard a GoodJob background job. Marks the job as discarded so it will not be retried. Use cases: - Discard a job that is no longer needed - Stop a failing job from being retried - Clean up jobs that are stuck or obsolete. It is categorised as a Destructive tool in the Pointsyeah MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on discard_good_job? +

Register the Pointsyeah MCP server in PolicyLayer and add a rule for discard_good_job: 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.

What risk level is discard_good_job? +

discard_good_job is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit discard_good_job? +

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

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

discard_good_job 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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