descriptive_statistics

Calculate descriptive statistics: mean, median, mode, std dev, min, max, quartiles.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/descriptive-statistics.md

WHAT IT DOES

What descriptive_statistics does on GadgetHumans API Hub

AI agents call descriptive_statistics to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why descriptive_statistics is rated Low

This is a pure calculation utility that reads numeric input and returns computed statistics. It has no ability to modify, delete, or execute operations on external systems. The output is informational only, making it a Read operation with minimal risk. Confidence is high because the function purpose is clear and unambiguous.

From the tool's definition Tool 'descriptive_statistics' performs statistical calculations on data (mean, median, mode, standard deviation, min, max, quartiles).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs descriptive_statistics safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For descriptive_statistics, this is the rule to start with:

descriptive_statistics Allowed

descriptive_statistics is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "descriptive_statistics": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every descriptive_statistics call is checked against it from then on.

FAQ

Questions about descriptive_statistics

What does the descriptive_statistics tool do? +

Calculate descriptive statistics: mean, median, mode, std dev, min, max, quartiles. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on descriptive_statistics? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for descriptive_statistics: 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 GadgetHumans API Hub. Nothing to install.

What risk level is descriptive_statistics? +

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

Can I rate-limit descriptive_statistics? +

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

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

descriptive_statistics is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on GadgetHumans API Hub, and thousands of servers like it.

This server

All 311 GadgetHumans API Hub tools →

Across the catalogue

The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →