Generate custom dashboard metrics and visualizations for executive reporting and operational insights.
AI agents call custom_dashboard_metrics 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 retrieves and formats metric data for dashboard display. It performs no writes (creates no persistent data artifacts beyond temporary visualizations), executions, destructive operations, or financial transactions. It is a read-only operation that queries existing metrics to present them in different visual forms.
From the tool's definition Tool generates custom dashboard metrics and visualizations for reporting and operational insights. The verbs 'generate' and 'visualizations' indicate data aggregation and display from existing metrics, with no modification, deletion, or execution capabilities…
Attacks that exploit this kind of access
Generate custom dashboard metrics and visualizations for executive reporting and operational insights. 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 custom_dashboard_metrics: 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.
custom_dashboard_metrics 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 custom_dashboard_metrics 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 custom_dashboard_metrics. 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.
custom_dashboard_metrics 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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