Parts of Speech Skill

Overview

Parts Of Speech works by analyzing the text provided and extracting the words based on the part of speech specified. It uses advanced algorithms to extract the words and returns the extracted words.

Live Test Parts of Speech Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as PartsofSpeechSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "PartsofSpeechSkill",
  "arguments": {
    "text": "The quick brown fox jumps over the lazy dog"
  }
}

You do not name the tool yourself; the model picks it. Asking about The quick brown fox jumps over the lazy dog in the terms this skill covers is enough for it to reach for PartsofSpeechSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "partofspeech": "verbs",
    "result": [
      "located",
      "had",
      "visit",
      "packed up",
      "boarded",
      "bound"
    ],
    "count": 6
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Adverb Density Checking

Flag repetitive adverbs in draft articles by pulling extracted modifier lists into editorial review queues.

Vocabulary Quiz Generation

Language learning apps isolate nouns and verbs from sample reading passages to generate fill-in-the-blank practice exercises.

Catalog Search Indexing

To index product descriptions accurately, catalog pipelines extract nouns from customer submissions to build targeted search filters.

Urgent Feedback Detection

When processing user feedback, customer support systems collect extracted superlatives to spot urgent complaints or glowing praise.

Other ways to use Parts of Speech Skill

Set up Parts of Speech Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Related

More in Text Processing: