manage_aws_glue_statements
AI agents invoke manage_aws_glue_statements 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.
AWS Glue 'statements' typically refer to code statements run within Glue interactive sessions (Spark/Python). 'Manage' implies creating, running, or canceling these statements, which constitutes execution of code. However, the description is empty, so confidence is reduced. Given the most severe plausible interpretation (executing code in Glue), Execute is the appropriate category.
From the tool's definition Tool name 'manage_aws_glue_statements' — 'manage' and 'statements' suggest executing or managing SQL/script statements in AWS Glue interactive sessions.
Attacks that exploit this kind of access
manage_aws_glue_statements. 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_glue_statements: 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_glue_statements 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_glue_statements 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_glue_statements. 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_glue_statements 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.