policy_create
AI agents use policy_create to create or update resources in Awslabs Valkey — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Awslabs Valkey environment.
Policy creation is a reversible write operation that modifies access control configurations but does not permanently delete data or execute arbitrary code. The blast radius is medium because misconfigured policies could grant unintended permissions, but the operation is not destructive and can be undone. Confidence is 0.7 due to empty tool description requiring inference from context.
From the tool's definition Tool name 'policy_create' indicates creation of a policy resource. No description provided, but based on sibling tools (add_inline_policy, add_user_to_group) this appears to be an AWS IAM/access control operation that creates or adds policies.
Attacks that exploit this kind of access
policy_create. It is categorised as a Write tool in the Awslabs Valkey MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for policy_create: 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.
policy_create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the policy_create 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 policy_create. 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.
policy_create 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.