remove_stopwords

Remove common stop words from text for cleaner analysis.

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/remove-stopwords.md

WHAT IT DOES

What remove_stopwords does on GadgetHumans API Hub

AI agents call remove_stopwords 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 remove_stopwords is rated Low

This tool processes input text and returns a filtered version with stop words removed. It is a pure text transformation/read operation with no side effects, no data persistence, and no external system interaction. Misuse potential is minimal.

From the tool's definition Remove common stop words from text for cleaner analysis

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs remove_stopwords 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 remove_stopwords, this is the rule to start with:

remove_stopwords Allowed

remove_stopwords 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": {
    "remove_stopwords": {}
  }
}

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 remove_stopwords call is checked against it from then on.

FAQ

Questions about remove_stopwords

What does the remove_stopwords tool do? +

Remove common stop words from text for cleaner analysis. 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 remove_stopwords? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for remove_stopwords: 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 remove_stopwords? +

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

Can I rate-limit remove_stopwords? +

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

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

remove_stopwords 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 →