Low Risk

analyze_dataflow

analyze_dataflow

How to control analyze_dataflow ↓

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

Low Risk

Even though analyze_dataflow only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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

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

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

analyze_dataflow 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 Codetree — 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.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the analyze_dataflow tool do? +

analyze_dataflow. It is categorised as a Read tool in the Codetree MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_dataflow? +

Register the Codetree MCP server in PolicyLayer and add a rule for analyze_dataflow: 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 Codetree. Nothing to install.

What risk level is analyze_dataflow? +

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

Can I rate-limit analyze_dataflow? +

Yes. Add a rate_limit block to the analyze_dataflow 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_dataflow completely? +

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

analyze_dataflow is provided by the Codetree MCP server (thinkyminer/codetree). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Codetree tool call.

Deterministic rules across all 23 Codetree tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

23 Codetree tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.