data_analysis · Deerflow Kinthai MCP: Risk & Policy

WHAT IT DOES

What data_analysis does on Deerflow Kinthai

AI agents invoke data_analysis to trigger actions in Deerflow Kinthai. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why data_analysis needs a policy

This tool executes SQL queries via DuckDB, which goes beyond read-only data retrieval. DuckDB can run arbitrary SQL, including DDL and DML statements that modify or destroy data. The description mentions 'generates statistical summaries, insights' which sounds read-oriented, but the underlying SQL execution engine makes it Execute-category with high severity due to the blast radius of arbitrary SQL execution.

From the tool's definition 'Analyze data using DuckDB' — DuckDB is a SQL execution engine capable of running arbitrary queries including potentially destructive operations (DROP, DELETE, etc.)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

data_analysis Rate-limited

data_analysis stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "data_analysis": {
      "limits": [
        {
          "counter": "data_analysis_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Deerflow Kinthai, so you can run agents against it safely.

FAQ

Questions about data_analysis

What does the data_analysis tool do? +

Analyze data using DuckDB. Generates statistical summaries, insights,. It is categorised as a Execute tool in the Deerflow Kinthai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on data_analysis? +

Register the Deerflow Kinthai MCP server in PolicyLayer and add a rule for data_analysis: 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 Deerflow Kinthai. Nothing to install.

What risk level is data_analysis? +

data_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit data_analysis? +

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

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

data_analysis is provided by the Deerflow Kinthai MCP server (kinthaiofficial/mcp-server-deerflow-kinthai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.