analyze_table

THE RISK

Low Risk

Why analyze_table needs a policy

This tool performs introspection on database tables to retrieve schema information (columns, types) and sample data. It is purely informational with no side effects—it does not create, modify, delete, or execute operations. The action is a read-only query operation with minimal blast radius if misused by an agent.

From the tool's definition Tool name 'analyze_table' and description 'Get detailed information about a table including columns, types, and sample data' indicate retrieval of metadata and sample records with no modification or deletion of data.

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

POLICY

How to control analyze_table

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

policy.json

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

analyze_table 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 MCP Data Visualization 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

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All 28 MCP Data Visualization Server tools →

Read tools on other servers

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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 analyze_table

What does the analyze_table tool do? +

Get detailed information about a table including columns, types, and sample data. It is categorised as a Read tool in the MCP Data Visualization Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_table? +

Register the MCP Data Visualization Server MCP server in PolicyLayer and add a rule for analyze_table: 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 MCP Data Visualization Server. Nothing to install.

What risk level is analyze_table? +

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

Can I rate-limit analyze_table? +

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

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

analyze_table is provided by the MCP Data Visualization Server MCP server (xoniks/mcp-visualization-duckdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Data Visualization Server tool call.

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

CHECK YOUR STACK →