Use this as the primary tool to list the log scopes in a Google Cloud project. Log scopes allow you to query logs from multiple projects in a single view. This is useful for centralized logging across a large organization.
AI agents call list_log_scopes 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 only queries and retrieves logging configuration data. It has no side effects, does not modify or delete data, and does not execute external operations. The primary verb 'list' and description language ('query logs') confirm it is a simple read operation with minimal risk if misused by an agent.
From the tool's definition The tool 'list_log_scopes' retrieves log scopes from a Google Cloud project with no indication of modification or deletion. The description states 'list the log scopes' and 'query logs from multiple projects in a single view', which are read-only operations.
Attacks that exploit this kind of access
Use this as the primary tool to list the log scopes in a Google Cloud project. Log scopes allow you to query logs from multiple projects in a single view. This is useful for centralized logging across a large organization. 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_scopes: 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_scopes 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_scopes 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_scopes. 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_scopes 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.