execute_promql_range_query
AI agents invoke execute_promql_range_query to trigger actions in Awslabs Valkey. 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 the description is empty (lowering confidence slightly), the tool name strongly suggests execution of arbitrary PrometheusQL queries. This falls under Execute rather than Read because: (1) 'execute' is an action verb indicating active code/query execution, (2) PrometheusQL queries can perform aggregations, transformations, and complex operations beyond simple retrieval, and (3) depending on Prometheus…
From the tool's definition Tool name 'execute_promql_range_query' indicates execution of a PrometheusQL range query against a time-series database.
Attacks that exploit this kind of access
execute_promql_range_query. It is categorised as a Execute tool in the Awslabs Valkey MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for execute_promql_range_query: 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 Awslabs Valkey. Nothing to install.
execute_promql_range_query 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 execute_promql_range_query 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 execute_promql_range_query. 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.
execute_promql_range_query is provided by the Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.