manage_aws_emr_ec2_steps
AI agents invoke manage_aws_emr_ec2_steps 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.
The description is empty, lowering confidence. However, AWS EMR 'steps' are units of work (e.g., Hadoop/Spark jobs) submitted to a cluster. 'Manage' implies adding, cancelling, or controlling these steps — which constitutes triggering external compute operations. This falls under Execute. Severity is high because misuse could trigger large-scale compute jobs with significant cost and resource implications.
From the tool's definition Tool name: manage_aws_emr_ec2_steps — 'manage' and 'steps' in EMR context implies submitting/running job steps on an EMR cluster
Attacks that exploit this kind of access
manage_aws_emr_ec2_steps. 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 manage_aws_emr_ec2_steps: 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.
manage_aws_emr_ec2_steps 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 manage_aws_emr_ec2_steps 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 manage_aws_emr_ec2_steps. 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.
manage_aws_emr_ec2_steps 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.