health

THE RISK

Low Risk

Why health needs a policy

Health checks are informational read operations that retrieve status information without modifying, deleting, or executing any operations on the Databricks workspace or connected systems. This poses minimal risk even if misused by an AI agent.

From the tool's definition Tool name is 'health' and description states it 'Check[s] the health of the MCP server and Databricks connection' — a diagnostic query operation with no side effects.

Documented attack patterns abuse exactly the kind of access health gives an agent:

POLICY

How to control health

PolicyLayer is an MCP gateway — it sits between your AI agents and Databricks MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for health:

policy.json

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

health is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Databricks MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Databricks MCP Server tools

Destructive delete_dbfs_path Delete a file or directory from DBFS. Destructive delete_governance_rule Delete a governance rule. Destructive delete_job Delete a job from the Databricks workspace. Destructive delete_pipeline Delete a DLT pipeline. Destructive delete_sql_warehouse Delete a SQL warehouse. Execute cancel_job_run Cancel a running job run. Execute cancel_query Cancel a running query. Execute cancel_statement Cancel statement execution.

All 86 Databricks MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about health

What does the health tool do? +

Check the health of the MCP server and Databricks connection. 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 health? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for health: 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 health? +

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

Can I rate-limit health? +

Yes. Add a rate_limit block to the health 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 health completely? +

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

health is provided by the Databricks MCP Server MCP server (pulkitxchadha/awesome-databricks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Databricks MCP Server tool call.

Start from Databricks MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →