Low Risk

list_data_sources

list_data_sources

How to control list_data_sources ↓

What list_data_sources does on SuperDataAnalysis - DataMaster_MCP

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

Low Risk

Why list_data_sources needs a policy

List operations retrieve and display existing data without side effects, mutations, or irreversible changes. No data is created, modified, deleted, or executed. This is a standard read operation. Confidence is slightly reduced due to the empty description, but the naming convention and context from sibling tools provide sufficient clarity.

From the tool's definition Tool name 'list_data_sources' indicates a listing/enumeration operation. The sibling tools on this server include 'connect_data_source', 'execute_sql', 'export_data', and 'fetch_api_data', establishing a pattern where 'list_*' operations are read-only queries.

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

How to control list_data_sources

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

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

list_data_sources 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 SuperDataAnalysis - DataMaster_MCP — 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.

Related tools and policies

Go deeper

Questions about list_data_sources

What does the list_data_sources tool do? +

list_data_sources. It is categorised as a Read tool in the SuperDataAnalysis - DataMaster_MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_data_sources? +

Register the SuperDataAnalysis - DataMaster_ MCP server in PolicyLayer and add a rule for list_data_sources: 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 SuperDataAnalysis - DataMaster_MCP. Nothing to install.

What risk level is list_data_sources? +

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

Can I rate-limit list_data_sources? +

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

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

list_data_sources is provided by the SuperDataAnalysis - DataMaster_ MCP server (szqshan/datamaster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SuperDataAnalysis - DataMaster_MCP tool call.

Start from SuperDataAnalysis - DataMaster_MCP, 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.

14 SuperDataAnalysis - DataMaster_MCP tools catalogued and risk-classified — across an index of 43,000+ 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.