Critical Risk →

cancel_job

Cancel a queued job

How to control cancel_job ↓

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

Critical Risk

An AI agent that decides to call cancel_job doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Scrivener MCP Server is gone — there is no undo for destructive operations.

Documented attack patterns abuse exactly the kind of access cancel_job gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Scrivener MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cancel_job:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "cancel_job"
  ]
}

cancel_job disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Scrivener MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RESTRICT THIS TOOL →

Free to start. No card required.

Go deeper

What does the cancel_job tool do? +

Cancel a queued job. It is categorised as a Destructive tool in the Scrivener MCP Server 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 cancel_job? +

Register the Scrivener MCP Server MCP server in PolicyLayer and add a rule for cancel_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 Scrivener MCP Server. Nothing to install.

What risk level is cancel_job? +

cancel_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 cancel_job? +

Yes. Add a rate_limit block to the cancel_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 cancel_job completely? +

Set action: deny in the PolicyLayer policy for cancel_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 cancel_job? +

cancel_job is provided by the Scrivener MCP Server MCP server (writerslogic/scrivener-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Scrivener MCP Server tool call.

Deterministic rules across all 62 Scrivener MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

62 Scrivener MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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