Create a computation model in AWS IoT SiteWise. Computation models enable advanced analytics and custom data processing on your asset data in AWS IoT SiteWise. You can configure computation models in two ways: 1. **Asset Model Level Configuration**: - Uses `assetModelProperty` in data binding ...
Part of the AWS IoT SiteWise MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use create_computation_model to create or modify resources in AWS IoT SiteWise MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call create_computation_model repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AWS IoT SiteWise MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
create_computation_model:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full AWS IoT SiteWise MCP Server policy for all 72 tools.
Agents calling write-class tools like create_computation_model have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Create a computation model in AWS IoT SiteWise. Computation models enable advanced analytics and custom data processing on your asset data in AWS IoT SiteWise. You can configure computation models in two ways: 1. **Asset Model Level Configuration**: - Uses `assetModelProperty` in data binding - Defines reusable computation logic for all assets of the same model - Must later be associated to specific assets using the ExecuteAction API 2. **Asset Level Configuration**: - Uses `assetProperty` in data binding - Defines computation logic directly for specific asset instances - Ready to execute immediately, without additional binding steps Args: computation_model_name: The name of the computation model (required) computation_model_configuration: The computation model configuration (required) computation_model_data_binding: The variable bindings for the model (required) region: AWS region (default: us-east-1) computation_model_description: Optional description of the computation model client_token: Optional unique identifier for idempotent requests tags: Optional metadata tags for the computation model Returns: Dictionary containing the computation model creation response. Notes: - Use this tool to create any computation model type by specifying the appropriate configuration and data bindings. - For specific computation types (e.g., anomaly detection), use a specialized tool that wraps this generic function for convenience.. It is categorised as a Write tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for create_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.
create_computation_model is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_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 create_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.
create_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.