Returns deployment information including available Kubernetes clusters and Connect clusters.
AI agents call get_deployment_targets to retrieve information from Lenses 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 infrastructure metadata (Kubernetes clusters, Connect clusters) for informational purposes. The word 'Returns' explicitly describes a read-only operation. There is no modification, deletion, execution, or financial impact. The blast radius of misuse is minimal—an attacker gains only visibility into available deployment targets, which may inform further attacks but does not itself cause damage.
From the tool's definition Tool name 'get_deployment_targets' and description 'Returns deployment information' indicate a retrieval operation with no side effects. It queries and lists available infrastructure resources without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get_deployment_targets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lenses MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_deployment_targets:
{
"version": "1",
"default": "deny",
"tools": {
"get_deployment_targets": {}
}
}get_deployment_targets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Returns deployment information including available Kubernetes clusters and Connect clusters. It is categorised as a Read tool in the Lenses MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lenses MCP Server MCP server in PolicyLayer and add a rule for get_deployment_targets: 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 Lenses MCP Server. Nothing to install.
get_deployment_targets 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_deployment_targets 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_deployment_targets. 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_deployment_targets is provided by the Lenses MCP Server MCP server (lensesio/lenses-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lenses MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
42 Lenses MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.