Executes a read-only SELECT query against the database - args: keyspace, query
AI agents invoke executeQuery to trigger actions in AWS IoT SiteWise MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Although described as 'read-only' and SELECT-only (which limits destructive potential), this tool executes arbitrary database queries based on user input. The Execute category is appropriate because: (1) it triggers external operations (database query execution), (2) effects depend entirely on the query argument, (3) a poorly-constructed or malicious query could cause resource exhaustion, performance degradation, or…
From the tool's definition Tool name 'executeQuery' combined with description stating it 'Executes a read-only SELECT query against the database' indicates the tool runs database queries with user-supplied arguments (keyspace, query).
Attacks that exploit this kind of access
Executes a read-only SELECT query against the database - args: keyspace, query. It is categorised as a Execute tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for executeQuery: 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.
executeQuery is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the executeQuery 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 executeQuery. 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.
executeQuery 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.