Cooperatively cancel a running job. Returns {ok: bool}.
AI agents invoke cancel_job to trigger actions in Flint Slating. 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.
Cancelling a running job terminates an in-progress operation, which is an external action with real side effects (the job stops executing). It is not a simple read, nor does it delete stored data outright, but it does trigger a state change in the system. This falls under Execute as it affects the runtime behavior of an ongoing process.
From the tool's definition cancel_job — 'Cooperatively cancel a running job'
Attacks that exploit this kind of access
Cooperatively cancel a running job. Returns {ok: bool}. It is categorised as a Execute tool in the Flint Slating MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Flint Slating 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 Flint Slating. Nothing to install.
cancel_job 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 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.
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.
cancel_job is provided by the Flint Slating MCP server (parkviewlab/flint-slating). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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