# textprep.tokenize_word

Tokenize text into words (NLTK).

Agent View of the PolicyLayer registry record for `textprep.tokenize_word`. HTML page: https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.tokenize-word

## Facts

- Tool: `textprep.tokenize_word`
- Server: Pypi:mhlabs Mcp Tools (`MusaddiqueHussainLabs/mhlabs_mcp_tools`) — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools.md
- Homepage: https://github.com/MusaddiqueHussainLabs/mhlabs_mcp_tools
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "textprep.tokenize_word",
    "arguments": {}
  }
}
```

## 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 own definition: "'Tokenize text into words (NLTK)' — splits input text into tokens, a pure transformation/analysis operation with no side effects"

## Use case

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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Pypi:mhlabs Mcp Tools:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "textprep.tokenize_word": {}
  }
}
```

## Other tools on Pypi:mhlabs Mcp Tools (30)

- `textprep.remove_emoticons` — Destructive — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-emoticons.md
- `textprep.remove_freqwords` — Destructive — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-freqwords.md
- `textprep.remove_rarewords` — Destructive — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-rarewords.md
- `textprep.remove_stopword` — Destructive — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-stopword.md
- `textprep.remove_url` — Destructive — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-url.md
- `nlp.load_component` — Execute — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/nlp.load-component.md
- `nlp.predict_component` — Execute — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/nlp.predict-component.md
- `textprep.keep_alpha_numeric` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.keep-alpha-numeric.md
- `textprep.normalize_unicode` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.normalize-unicode.md
- `textprep.remove_html` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-html.md
- `textprep.remove_ssn` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-ssn.md
- `textprep.remove_whitespace` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-whitespace.md
- `textprep.substitute_token` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.substitute-token.md
- `textprep.to_lower` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.to-lower.md
- `textprep.to_upper` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.to-upper.md
- `textprep.tokenize_sentence` — Other — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.tokenize-sentence.md
- `textprep.chat_words_conversion` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.chat-words-conversion.md
- `textprep.convert_emojis_to_words` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.convert-emojis-to-words.md
- `textprep.convert_emoticons_to_words` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.convert-emoticons-to-words.md
- `textprep.expand_contraction` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.expand-contraction.md
- `textprep.lemmatize_word` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.lemmatize-word.md
- `textprep.remove_punctuation` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-punctuation.md
- `textprep.stem_word` — Read — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.stem-word.md
- `textprep.remove_credit_card_number` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-credit-card-number.md
- `textprep.remove_email` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-email.md
- `textprep.remove_emoji` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-emoji.md
- `textprep.remove_itemized_bullet_and_numbering` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-itemized-bullet-and-numbering.md
- `textprep.remove_number` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-number.md
- `textprep.remove_phone_number` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-phone-number.md
- `textprep.remove_special_character` — Write — https://policylayer.com/tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.remove-special-character.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-musaddiquehussainlabs-mhlabs-mcp-tools · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-musaddiquehussainlabs-mhlabs-mcp-tools