compute-optimizer
AI agents call compute-optimizer to retrieve information from Awslabs Valkey without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name alone, 'compute-optimizer' appears to be an analysis or reporting tool that would read data from AWS Compute Optimizer to generate optimization recommendations. This is consistent with other tools on the server that perform analysis (analyze_batch_translation_errors, analyze_canary_failures, analyze_cdk_project).
From the tool's definition The tool name 'compute-optimizer' suggests analysis or assessment functionality; the empty description provides no direct evidence of capabilities.
Attacks that exploit this kind of access
compute-optimizer. It is categorised as a Read tool in the Awslabs Valkey MCP Server, which means it retrieves data without modifying state.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for compute-optimizer: 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.
compute-optimizer 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 compute-optimizer 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 compute-optimizer. 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.
compute-optimizer 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.