Low Risk

targets_list

List all available targets

Part of the Kubernetes MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call targets_list to retrieve information from Kubernetes without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though targets_list only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

io-github-containers-kubernetes-mcp-server.yaml
tools:
  targets_list:
    rules:
      - action: allow

See the full Kubernetes policy for all 37 tools.

Tool Name targets_list
Category Read
Risk Level Low

View all 37 tools →

Agents calling read-class tools like targets_list have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the targets_list tool do? +

List all available targets. It is categorised as a Read tool in the Kubernetes MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on targets_list? +

Add a rule in your Intercept YAML policy under the tools section for targets_list. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Kubernetes MCP server.

What risk level is targets_list? +

targets_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit targets_list? +

Yes. Add a rate_limit block to the targets_list rule in your Intercept 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.

How do I block targets_list completely? +

Set action: deny in the Intercept policy for targets_list. 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.

What MCP server provides targets_list? +

targets_list is provided by the Kubernetes MCP server (kubernetes-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Kubernetes

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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