sam_build
AI agents invoke sam_build 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.
SAM build commands execute arbitrary build logic defined in project templates and configuration files. An AI agent given this tool could trigger unintended compilation, install malicious dependencies, or execute build scripts without proper validation. The tool description is empty, which reduces confidence slightly, but the name and server context clearly indicate code execution capabilities.
From the tool's definition Tool name 'sam_build' indicates execution of AWS SAM (Serverless Application Model) build operations. The sibling tools on this server (add_inline_policy, add_user_to_group, analyze_cdk_project) and server context (AWS Labs MCP for infrastructure) suggest…
Attacks that exploit this kind of access
sam_build. 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 sam_build: 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.
sam_build 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 sam_build 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 sam_build. 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.
sam_build 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.