AI agents call api_data_preview 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.
The tool name indicates it retrieves and displays preview data from APIs. Preview operations are non-destructive queries that retrieve but do not modify, create, delete, or execute code. While confidence is moderate due to empty description, the naming and presence of parallel read-only siblings (fetch_api_data, get_data_info, list_*) support Read classification.
From the tool's definition Tool name 'api_data_preview' suggests preview/inspection of API data; sibling tools include 'fetch_api_data', 'get_data_info', and 'analyze_data' which are read-only operations.
Documented attack patterns abuse exactly the kind of access api_data_preview gives an agent:
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 api_data_preview:
{
"version": "1",
"default": "deny",
"tools": {
"api_data_preview": {}
}
}api_data_preview is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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api_data_preview. It is categorised as a Read tool in the SuperDataAnalysis - DataMaster_MCP MCP Server, which means it retrieves data without modifying state.
Register the SuperDataAnalysis - DataMaster_ MCP server in PolicyLayer and add a rule for api_data_preview: 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.
api_data_preview is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the api_data_preview 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.
Set action: deny in the PolicyLayer policy for api_data_preview. 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.
api_data_preview 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.
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.
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14 SuperDataAnalysis - DataMaster_MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.