Advanced multi-project log querying with complex filters, aggregations, and analytics. Supports enterprise-scale log analysis across multiple GCP projects with sophisticated filtering.
AI agents call advanced_log_query to retrieve information from GCP MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and analyzes logs but does not create, modify, delete, or execute operations. While it operates across multiple GCP projects and could expose sensitive logs (warranting medium severity due to potential data exposure), it remains fundamentally a Read operation.
From the tool's definition Tool performs 'log querying' with 'filters, aggregations, and analytics' on existing Cloud Logging data. The description emphasizes retrieval and analysis ('log analysis') across multiple projects with no mention of modification, deletion, or command…
Attacks that exploit this kind of access
Advanced multi-project log querying with complex filters, aggregations, and analytics. Supports enterprise-scale log analysis across multiple GCP projects with sophisticated filtering. It is categorised as a Read tool in the GCP MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GCP MCP Server MCP server in PolicyLayer and add a rule for advanced_log_query: 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 GCP MCP Server. Nothing to install.
advanced_log_query 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 advanced_log_query 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 advanced_log_query. 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.
advanced_log_query is provided by the GCP MCP Server MCP server (jayrajgoyal/gcp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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