Retrieve all instant Prometheus metrics for a specific Kubernetes pod or service. Returns comprehensive metrics including CPU, memory, network, and container specifications.
AI agents call get_metrics to retrieve information from K8s Observability MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns observability data (metrics) from Prometheus without any capability to modify, delete, or execute operations. It is purely informational retrieval with no side effects. The blast radius of misuse is minimal—an agent could only over-query or exfiltrate metrics visibility, which is a low-risk Read operation typical of observability platforms.
From the tool's definition Tool description states 'Retrieve all instant Prometheus metrics' with no mention of modifying, deleting, or executing operations. The verb 'Retrieve' and the context of observability (viewing metrics data) indicate read-only access to monitoring data.
Attacks that exploit this kind of access
Retrieve all instant Prometheus metrics for a specific Kubernetes pod or service. Returns comprehensive metrics including CPU, memory, network, and container specifications. It is categorised as a Read tool in the K8s Observability MCP MCP Server, which means it retrieves data without modifying state.
Register the K8s Observability MCP server in PolicyLayer and add a rule for get_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 K8s Observability MCP. Nothing to install.
get_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 get_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 get_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.
get_metrics is provided by the K8s Observability MCP server (martinimarcello00/k8s-observability-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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