Update an asset model. Args: asset_model_id: The ID of the asset model to update. Accepts UUID format (12345678-1234-1234-1234-123456789012) or external ID format (externalId:my-external-id). Use list_asset_models to get the correct ID if you only have t...
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 update_asset_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 update_asset_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:
update_asset_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 update_asset_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.
Update an asset model. Args: asset_model_id: The ID of the asset model to update. Accepts UUID format (12345678-1234-1234-1234-123456789012) or external ID format (externalId:my-external-id). Use list_asset_models to get the correct ID if you only have the asset model name. asset_model_name: A unique, friendly name for the asset model region: AWS region (default: us-east-1) asset_model_description: A description for the asset model asset_model_properties: The updated property definitions of the asset model asset_model_hierarchies: The updated hierarchy definitions of the asset model asset_model_composite_models: The updated composite models client_token: A unique case-sensitive identifier for the request asset_model_external_id: An external ID to assign to the asset model Returns: Dictionary containing update response. 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 update_asset_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.
update_asset_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 update_asset_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 update_asset_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.
update_asset_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.