Query comprehensive metrics across multiple GCP services with advanced aggregation, filtering, and time-series analysis. Perfect for performance monitoring and capacity planning.
AI agents call advanced_metrics_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 metrics data across GCP services, which is a retrieval operation with no side effects. However, confidence is not higher than 0.95 because detailed metric data and patterns from multiple services could potentially inform privilege escalation or attack planning if misused by a compromised agent, elevating severity to 'medium' rather than 'low.' The tool itself performs no writes, executions, or…
From the tool's definition Tool is described as 'Query comprehensive metrics' with capabilities limited to 'aggregation, filtering, and time-series analysis' for 'performance monitoring and capacity planning.' These are read-only operations that retrieve and analyze data without…
Attacks that exploit this kind of access
Query comprehensive metrics across multiple GCP services with advanced aggregation, filtering, and time-series analysis. Perfect for performance monitoring and capacity planning. 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_metrics_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_metrics_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_metrics_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_metrics_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_metrics_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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