Low Risk

analyze_data

Perform statistical analysis on a DuckDB table: row count,

How to control analyze_data ↓

What analyze_data does on DuckDB MCP Server

AI agents call analyze_data to retrieve information from DuckDB 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 analyze_data needs a policy

This tool retrieves and computes statistics from existing data (row count, and implicitly other aggregate functions like mean, median, etc.) without creating, modifying, deleting, or executing arbitrary code. It falls squarely into the Read category. Low severity because statistical analysis on data has minimal blast radius—the worst outcome is incorrect analysis, not data loss or unauthorized modifications.

From the tool's definition Tool name 'analyze_data' and description 'Perform statistical analysis on a DuckDB table: row count' indicates read-only retrieval of aggregate statistics without modification or execution of arbitrary operations.

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

How to control analyze_data

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

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

analyze_data 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 DuckDB 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

Go deeper

Questions about analyze_data

What does the analyze_data tool do? +

Perform statistical analysis on a DuckDB table: row count,. It is categorised as a Read tool in the DuckDB MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_data? +

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

What risk level is analyze_data? +

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

Can I rate-limit analyze_data? +

Yes. Add a rate_limit block to the analyze_data 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_data completely? +

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

analyze_data is provided by the DuckDB MCP Server MCP server (mustafahasankhan/duckdb-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 DuckDB MCP Server tool call.

Start from DuckDB 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.

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

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