describe_services
AI agents call describe_services to retrieve information from AWS IoT SiteWise MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'describe_' prefix is a well-established AWS API pattern exclusively used for querying and retrieving information about resources without side effects. Given the AWS IoT SiteWise context, this tool almost certainly retrieves service metadata or configuration. Without evidence of execution, modification, or deletion capabilities, and following AWS API conventions, this is classified as Read.
From the tool's definition Tool name 'describe_services' follows the standard AWS pattern for descriptor/query operations (e.g., DescribeInstances, DescribeVpcs) which retrieve metadata without modification.
Attacks that exploit this kind of access
describe_services. It is categorised as a Read tool in the AWS IoT SiteWise MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for describe_services: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AWS IoT SiteWise MCP Server. Nothing to install.
describe_services 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_services rule in your PolicyLayer 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 PolicyLayer policy for describe_services. 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_services is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.