List computation model resolve to resources in AWS IoT SiteWise. Retrieves a paginated list of resources that a computation model resolves to. This shows the specific assets or other resources that are associated with the computation model through resolve-to relationships. Args: computation...
Part of the AWS IoT SiteWise MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call list_computation_model_resolve_to_resources to retrieve information from AWS IoT SiteWise MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though list_computation_model_resolve_to_resources only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
list_computation_model_resolve_to_resources:
rules:
- action: allowSee the full AWS IoT SiteWise MCP Server policy for all 72 tools.
Agents calling read-class tools like list_computation_model_resolve_to_resources have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
List computation model resolve to resources in AWS IoT SiteWise. Retrieves a paginated list of resources that a computation model resolves to. This shows the specific assets or other resources that are associated with the computation model through resolve-to relationships. Args: computation_model_id: The ID of the computation model (required, must be in UUID format) region: AWS region (default: us-east-1) max_results: Optional maximum number of results to return (1-250) next_token: Optional token for pagination to get the next set of results Returns: Dictionary containing the list of resolve-to resources and pagination info. Example: # List all resolve-to resources for a computation model result = list_computation_model_resolve_to_resources( computation_model_id='12345678-1234-1234-1234-123456789012' ) # List resolve-to resources with pagination result = list_computation_model_resolve_to_resources( computation_model_id='12345678-1234-1234-1234-123456789012', max_results=50 ) # Get next page of results result = list_computation_model_resolve_to_resources( computation_model_id='12345678-1234-1234-1234-123456789012', next_token=previous_result['nextToken'] ) # The response includes: # - success: Boolean indicating if the operation succeeded # - computationModelResolveToResourceSummaries: List of resources the computation model resolves to # - nextToken: Token for pagination (if more results available). It is categorised as a Read tool in the AWS IoT SiteWise MCP Server MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for list_computation_model_resolve_to_resources. 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.
list_computation_model_resolve_to_resources is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_computation_model_resolve_to_resources 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 list_computation_model_resolve_to_resources. 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.
list_computation_model_resolve_to_resources 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.