databricks_list_secrets
A read tool on the Databricks MCP server.
This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-list-secrets.md
What databricks_list_secrets does on Databricks MCP Server
AI agents call databricks_list_secrets 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 databricks_list_secrets is rated Low
Listing secrets retrieves sensitive credential or authentication material. While this is a Read operation (no data is modified), the blast radius is elevated to medium severity because exposure of secrets could enable unauthorized access to protected resources. The empty description reduces confidence slightly, but the name is unambiguous about its function.
From the tool's definition Tool name 'databricks_list_secrets' indicates retrieval of secrets; 'list' is a read operation that queries data without modification.
Attacks that exploit this kind of access
The rule that runs databricks_list_secrets 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 databricks_list_secrets, this is the rule to start with:
databricks_list_secrets 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 databricks_list_secrets call is checked against it from then on.
Questions about databricks_list_secrets
databricks_list_secrets is a read tool on the Databricks MCP Server MCP server. 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 databricks_list_secrets: 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.
databricks_list_secrets 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 databricks_list_secrets 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 databricks_list_secrets. 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.
databricks_list_secrets is provided by the Databricks MCP Server MCP server (pypi:databricks-sdk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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