Delete a computation model in AWS IoT SiteWise. This action permanently deletes a computation model and cannot be undone. Args: computation_model_id: The ID of the computation model to delete (required, must be in UUID format) region: AWS region (default: us-east-1) client_token: Op...
Part of the AWS IoT SiteWise MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents may call delete_computation_model to permanently remove or destroy resources in AWS IoT SiteWise MCP Server. 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 delete_computation_model in a loop, permanently destroying resources in AWS IoT SiteWise MCP Server. 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:
delete_computation_model:
rules:
- action: deny
reason: "Blocked by default — enable with approval"See the full AWS IoT SiteWise MCP Server policy for all 72 tools.
Agents calling destructive-class tools like delete_computation_model 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.
delete_computation_model is one of the critical-risk operations in AWS IoT SiteWise MCP Server. 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.
Delete a computation model in AWS IoT SiteWise. This action permanently deletes a computation model and cannot be undone. Args: computation_model_id: The ID of the computation model to delete (required, must be in UUID format) region: AWS region (default: us-east-1) client_token: Optional unique identifier for idempotent requests Returns: Dictionary containing the computation model deletion response. Note: - This operation is irreversible - Returns HTTP 202 with DELETING status on success. It is categorised as a Destructive tool in the AWS IoT SiteWise MCP Server 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 delete_computation_model. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS IoT SiteWise MCP Server MCP server.
delete_computation_model 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 delete_computation_model 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 delete_computation_model. 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.
delete_computation_model is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.