AI agents call list_dashboards to retrieve information from Newrelic without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing dashboard metadata without modifying, deleting, or executing any operations. It is a straightforward read operation that returns a list of resources. The blast radius of misuse is minimal—an agent could discover available dashboards but cannot modify infrastructure, execute code, or cause financial impact.
From the tool's definition Tool name 'list_dashboards' and description 'List all dashboards for an account' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all dashboards for an account. It is categorised as a Read tool in the Newrelic MCP Server, which means it retrieves data without modifying state.
Register the Newrelic MCP server in PolicyLayer and add a rule for list_dashboards: 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 Newrelic. Nothing to install.
list_dashboards 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_dashboards 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_dashboards. 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_dashboards is provided by the Newrelic MCP server (@piekstras/newrelic-mcp-server). 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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