Use this as the primary tool to list the log views in a given log bucket. Log views provide fine-grained access control to the logs in your buckets. This is useful for managing who has access to which logs.
AI agents call list_views to retrieve information from Storage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about log views without modifying, executing, or deleting any data. It performs a query/list operation to enumerate existing log views, which has no side effects and falls squarely into the Read category. The severity is low because listing metadata poses minimal risk—it does not expose log contents themselves, only view configurations.
From the tool's definition Tool name 'list_views' combined with description stating it lists log views in a log bucket. The verb 'list' and the action of providing information about log views are characteristic of read-only operations.
Attacks that exploit this kind of access
Use this as the primary tool to list the log views in a given log bucket. Log views provide fine-grained access control to the logs in your buckets. This is useful for managing who has access to which logs. It is categorised as a Read tool in the Storage MCP Server, which means it retrieves data without modifying state.
Register the Storage MCP server in PolicyLayer and add a rule for list_views: 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 Storage. Nothing to install.
list_views 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 list_views 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 list_views. 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.
list_views is provided by the Storage MCP server (@google-cloud/storage-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.