get_cluster
Get information about a specific Databricks cluster with parameter: cluster_id (string, required)
This record as markdown: /tools/andresgarciasobrado91-databricks-mcp-server/get-cluster.md
What get_cluster does on Databricks MCP Server
AI agents call get_cluster to retrieve information from Databricks MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_cluster is rated Low
This tool retrieves cluster information by ID, which is a read-only query operation with no side effects. It poses minimal risk as it merely returns existing cluster metadata without altering state or triggering operations.
From the tool's definition Tool name 'get_cluster' and description 'Get information about a specific Databricks cluster' indicate retrieval of cluster metadata without modification or execution.
Attacks that exploit this kind of access
The rule that runs get_cluster safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Databricks MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_cluster, this is the rule to start with:
get_cluster is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Databricks MCP Server, apply this rule, and every get_cluster call is checked against it from then on.
Questions about get_cluster
Get information about a specific Databricks cluster with parameter: cluster_id (string, required). It is categorised as a Read tool in the Databricks MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for get_cluster: 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 Databricks MCP Server. Nothing to install.
get_cluster 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_cluster 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_cluster. 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_cluster is provided by the Databricks MCP Server MCP server (andresgarciasobrado91/databricks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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