Use this as the primary tool to list the log names in a Google Cloud project. This is useful for discovering what logs are available for a project. Only logs which have log entries will be listed.
AI agents call list_log_names 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 queries and returns log metadata (log names) from a Google Cloud project. It performs no modifications, deletions, or state-changing operations. It is purely informational discovery, which is characteristic of Read operations. The low severity reflects that log name enumeration has minimal blast radius—it reveals information about logging but not sensitive data within logs themselves.
From the tool's definition Tool description states 'list the log names' and is for 'discovering what logs are available for a project.' The verb 'list' and the read-only nature of log discovery indicate this retrieves data without side effects.
Attacks that exploit this kind of access
Use this as the primary tool to list the log names in a Google Cloud project. This is useful for discovering what logs are available for a project. Only logs which have log entries will be listed. 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_log_names: 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_log_names 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_log_names 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_log_names. 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_log_names 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.