textprep.tokenize_word

Tokenize text into words (NLTK).

SERVERPypi:mhlabs Mcp Tools SOURCEMusaddiqueHussainLabs/mhlabs_mcp_tools

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-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.tokenize-word.md

WHAT IT DOES

What textprep.tokenize_word does on Pypi:mhlabs Mcp Tools

AI agents call textprep.tokenize_word to retrieve information from Pypi:mhlabs Mcp Tools without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why textprep.tokenize_word is rated Low

Tokenization is a read-only NLP operation that processes input text and returns a list of word tokens. It does not modify, store, or delete any data, and has no external side effects. Misuse potential is negligible.

From the tool's definition "Tokenize text into words (NLTK)" — splits input text into tokens, a pure transformation/analysis operation with no side effects

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs textprep.tokenize_word safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:mhlabs Mcp Tools, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For textprep.tokenize_word, this is the rule to start with:

textprep.tokenize_word Allowed

textprep.tokenize_word 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": {
    "textprep.tokenize_word": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:mhlabs Mcp Tools, apply this rule, and every textprep.tokenize_word call is checked against it from then on.

FAQ

Questions about textprep.tokenize_word

What does the textprep.tokenize_word tool do? +

Tokenize text into words (NLTK). It is categorised as a Read tool in the Pypi:mhlabs Mcp Tools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on textprep.tokenize_word? +

Register the Pypi:mhlabs Mcp Tools MCP server in PolicyLayer and add a rule for textprep.tokenize_word: 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 Pypi:mhlabs Mcp Tools. Nothing to install.

What risk level is textprep.tokenize_word? +

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

Can I rate-limit textprep.tokenize_word? +

Yes. Add a rate_limit block to the textprep.tokenize_word 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 textprep.tokenize_word completely? +

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

textprep.tokenize_word is provided by the Pypi:mhlabs Mcp Tools MCP server (MusaddiqueHussainLabs/mhlabs_mcp_tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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