Low Risk

lightdash_get_metadata

Get metadata for a specific table in the data catalog

How to control lightdash_get_metadata ↓

What lightdash_get_metadata does on Lightdash MCP Server

AI agents call lightdash_get_metadata to retrieve information from Lightdash MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why lightdash_get_metadata needs a policy

This tool retrieves metadata about data structures, which is a non-destructive query operation. It does not modify, execute, delete, or move anything—it only provides informational details about table schemas. Consistent with sibling tools (lightdash_get_*) that all appear to be analytics retrieval operations, this presents minimal risk of misuse.

From the tool's definition Tool name 'lightdash_get_metadata' and description 'Get metadata for a specific table in the data catalog' indicate retrieval of schema/structural information only.

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

How to control lightdash_get_metadata

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lightdash_get_metadata": {}
  }
}

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

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

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Questions about lightdash_get_metadata

What does the lightdash_get_metadata tool do? +

Get metadata for a specific table in the data catalog. It is categorised as a Read tool in the Lightdash MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on lightdash_get_metadata? +

Register the Lightdash MCP Server MCP server in PolicyLayer and add a rule for lightdash_get_metadata: 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 Lightdash MCP Server. Nothing to install.

What risk level is lightdash_get_metadata? +

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

Can I rate-limit lightdash_get_metadata? +

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

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

lightdash_get_metadata is provided by the Lightdash MCP Server MCP server (syucream/lightdash-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lightdash MCP Server tool call.

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

Free to start. No card required.

13 Lightdash MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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