Search for Unity Catalog objects by name, description, or tags.
AI agents call search_uc_objects to retrieve information from Databricks MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data from Unity Catalog without creating, modifying, deleting, or executing any operations. It is a passive search operation that returns information about catalog objects. The blast radius of misuse is minimal—an agent could only retrieve metadata about objects, not perform any destructive or privileged actions.
From the tool's definition Tool name and description indicate search functionality: 'Search for Unity Catalog objects by name, description, or tags.' The verb 'search' combined with 'by name, description, or tags' indicates querying/retrieval with no modification or execution of…
Documented attack patterns abuse exactly the kind of access search_uc_objects gives an agent:
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 search_uc_objects:
{
"version": "1",
"default": "deny",
"tools": {
"search_uc_objects": {}
}
}search_uc_objects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for Unity Catalog objects by name, description, or tags. 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 search_uc_objects: 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.
search_uc_objects 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 search_uc_objects 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 search_uc_objects. 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.
search_uc_objects 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.
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.
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86 Databricks MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.