Low Risk

get_data_info

get_data_info

How to control get_data_info ↓

What get_data_info does on SuperDataAnalysis - DataMaster_MCP

AI agents call get_data_info 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 get_data_info needs a policy

Based on the tool name's clear 'get' prefix and the absence of evidence of side effects, this is most likely a read operation that retrieves or queries information about data sources or datasets. The empty description lowers confidence slightly, but the naming convention and cohort context (on a data analysis server with other read/write/execute tools) support this classification.

From the tool's definition Tool name 'get_data_info' suggests retrieval of metadata or information about data. The description is empty, but the name pattern and context (among sibling tools like list_data_sources, api_data_preview) indicates a read-only query operation.

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

How to control get_data_info

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 get_data_info:

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

get_data_info 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.
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Related tools and policies

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Questions about get_data_info

What does the get_data_info tool do? +

get_data_info. 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 get_data_info? +

Register the SuperDataAnalysis - DataMaster_ MCP server in PolicyLayer and add a rule for get_data_info: 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 get_data_info? +

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

Can I rate-limit get_data_info? +

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

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

get_data_info 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.

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