Critical Risk →

cancel_run

Cancel an in-flight simulation run. Works on runs in built, queued, or computing status. Cleans up compute resources (terminates EC2 instance, Celery task, or Batch job). Returns 409 if the run is already in a terminal state (complete, cancelled, or error).

Part of the Hydrata - ANUGA Flood Simulation server.

cancel_run can permanently delete data in Hydrata - ANUGA Flood Simulation, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call cancel_run to permanently remove or destroy resources in Hydrata - ANUGA Flood Simulation. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call cancel_run in a loop, permanently destroying resources in Hydrata - ANUGA Flood Simulation. There is no undo for destructive operations. PolicyLayer 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.

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

See the full Hydrata - ANUGA Flood Simulation policy for all 9 tools.

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These attack patterns abuse exactly the kind of access cancel_run gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so cancel_run only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the cancel_run tool do? +

Cancel an in-flight simulation run. Works on runs in built, queued, or computing status. Cleans up compute resources (terminates EC2 instance, Celery task, or Batch job). Returns 409 if the run is already in a terminal state (complete, cancelled, or error).. It is categorised as a Destructive tool in the Hydrata - ANUGA Flood Simulation 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_run? +

Register the Hydrata - ANUGA Flood Simulation MCP server in PolicyLayer and add a rule for cancel_run: 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 Hydrata - ANUGA Flood Simulation. Nothing to install.

What risk level is cancel_run? +

cancel_run 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_run? +

Yes. Add a rate_limit block to the cancel_run 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_run completely? +

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

cancel_run is provided by the Hydrata - ANUGA Flood Simulation MCP server (https://hydrata.com/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hydrata - ANUGA Flood Simulation tool call.

Deterministic rules across all 9 Hydrata - ANUGA Flood Simulation tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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