Retrieve information about an asset model. Args: asset_model_id: The ID of the asset model. 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 o...
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 describe_asset_model 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 describe_asset_model 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:
describe_asset_model:
rules:
- action: allowSee the full AWS IoT SiteWise MCP Server policy for all 72 tools.
Agents calling read-class tools like describe_asset_model 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.
Retrieve information about an asset model. Args: asset_model_id: The ID of the asset model. 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. region: AWS region (default: us-east-1) exclude_properties: Whether to exclude asset model properties asset_model_version: The version of the asset model (LATEST, ACTIVE) Returns: Dictionary containing asset model information. 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 describe_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.
describe_asset_model 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 describe_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 describe_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.
describe_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.