databricks_get_serving_endpoint_logs

A read tool on the Databricks MCP server.

SERVERDatabricks MCP Server SOURCEpypi:databricks-sdk-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-get-serving-endpoint-logs.md

WHAT IT DOES

What databricks_get_serving_endpoint_logs does on Databricks MCP Server

AI agents call databricks_get_serving_endpoint_logs 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.

RISK

Why databricks_get_serving_endpoint_logs is rated Low

The tool name 'databricks_get_serving_endpoint_logs' follows a standard read pattern ('get') and retrieves logs from a serving endpoint. Logs are observational data without side effects. While the empty description limits full certainty, the naming convention strongly indicates this is a read-only operation that queries existing log data rather than modifies, executes, or deletes.

From the tool's definition Tool name contains 'get' and 'logs', indicating data retrieval operations. No modifying, executing, or destructive operations are implied by the name. Description is empty, reducing confidence.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs databricks_get_serving_endpoint_logs 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_get_serving_endpoint_logs, this is the rule to start with:

databricks_get_serving_endpoint_logs Allowed

databricks_get_serving_endpoint_logs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "databricks_get_serving_endpoint_logs": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Databricks MCP Server, apply this rule, and every databricks_get_serving_endpoint_logs call is checked against it from then on.

FAQ

Questions about databricks_get_serving_endpoint_logs

What does the databricks_get_serving_endpoint_logs tool do? +

databricks_get_serving_endpoint_logs 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.

How do I enforce a policy on databricks_get_serving_endpoint_logs? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for databricks_get_serving_endpoint_logs: 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.

What risk level is databricks_get_serving_endpoint_logs? +

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

Can I rate-limit databricks_get_serving_endpoint_logs? +

Yes. Add a rate_limit block to the databricks_get_serving_endpoint_logs 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.

How do I block databricks_get_serving_endpoint_logs completely? +

Set action: deny in the PolicyLayer policy for databricks_get_serving_endpoint_logs. 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 databricks_get_serving_endpoint_logs? +

databricks_get_serving_endpoint_logs 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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