describe_storage_credential

THE RISK

Low Risk

Why describe_storage_credential needs a policy

The verb 'describe' and the action of retrieving 'detailed information' are characteristic of read-only operations. No modification, deletion, or execution of code is implied. While storage credentials are sensitive information, accessing metadata about them does not modify state or trigger external operations. This is a straightforward information retrieval with low blast radius if misused.

From the tool's definition Tool name 'describe_storage_credential' and description 'Get detailed storage credential information' indicate a retrieval operation that queries credential metadata.

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

POLICY

How to control describe_storage_credential

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 describe_storage_credential:

policy.json

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

describe_storage_credential 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 →

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EXPLORE

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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 describe_storage_credential

What does the describe_storage_credential tool do? +

Get detailed storage credential information. 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 describe_storage_credential? +

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

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

Can I rate-limit describe_storage_credential? +

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

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

describe_storage_credential 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 →