AI agents invoke analyze_data to trigger actions in SuperDataAnalysis - DataMaster_MCP. 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.
The description is empty, which significantly lowers confidence. Based on the tool name and server context, 'analyze_data' likely performs statistical analysis or data processing operations. Sibling tools like 'execute_sql' suggest this server runs active operations rather than just reads. Analysis tools can execute computations, potentially on large datasets, and may have side effects depending on implementation.
From the tool's definition Tool name is 'analyze_data' on a server that provides 'data analysis capabilities' including 'SQL querying, statistical analysis, and data processing'. Description is empty.
Documented attack patterns abuse exactly the kind of access analyze_data 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 analyze_data:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_data": {
"limits": [
{
"counter": "analyze_data_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}analyze_data 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.
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analyze_data. It is categorised as a Execute tool in the SuperDataAnalysis - DataMaster_MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SuperDataAnalysis - DataMaster_ MCP server in PolicyLayer and add a rule for analyze_data: 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.
analyze_data is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the analyze_data 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 analyze_data. 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.
analyze_data 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.
Free to start. No card required.
14 SuperDataAnalysis - DataMaster_MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.