Cancel a running prediction
Terminates in-progress model run
Part of the Replicate MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents may call cancel_prediction to permanently remove or destroy resources in Replicate. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. Intercept blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call cancel_prediction in a loop, permanently destroying resources in Replicate. There is no undo for destructive operations. Intercept blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
tools:
cancel_prediction:
rules:
- action: deny
reason: "Blocked by default — enable with approval"See the full Replicate policy for all 13 tools.
Agents calling destructive-class tools like cancel_prediction have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Destructive risk category across the catalogue. The same policy patterns (deny, require_approval) apply to each.
cancel_prediction is one of the critical-risk operations in Replicate. For the full severity-focused view — only the critical-risk tools with their recommended policies — see the breakdown for this server, or browse all critical-risk tools across every MCP server.
Cancel a running prediction. It is categorised as a Destructive tool in the Replicate MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Add a rule in your Intercept YAML policy under the tools section for cancel_prediction. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Replicate MCP server.
cancel_prediction is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cancel_prediction rule in your Intercept 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 Intercept policy for cancel_prediction. 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_prediction is provided by the Replicate MCP server (@mcp-replicate). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept