Overview
Submit a single word in the query string. The service checks the term against lexical antonym records and produces a structured list of opposing words. If a term has multiple valid antonyms, the response contains every matched word in a JSON array with the original query.
Live Test Word Opposites Skill Skill →
The tool
Once your client is connected to the VerveKit server, this appears in its tool list as WordOppositesSkill. 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": "WordOppositesSkill",
"arguments": {
"word": "hot"
}
}You do not name the tool yourself; the model picks it. Asking about hot in the terms this skill covers is enough for it to reach for WordOppositesSkill 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/mcpPer-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.
| Argument | Type | Description |
|---|---|---|
wordRequired | string | The word to get the opposites for |
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.
{
"status": "ok",
"error": null,
"data": {
"word": "hot",
"opposites": [
"cold",
"cool",
"chilly",
"frozen",
"frigid"
]
}
}
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.
| Field | Type | Example | Description |
|---|---|---|---|
word | string | hot | The input word analyzed for opposite words |
opposites | array | ["cold","cool","chilly"] | List of antonym words with similar opposite meaning |
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.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This skill is not part of VerveKit. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 20 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Crossword Clue Generation
- Clue authors and puzzle builders retrieve contrasting terms to construct clever definitions and dual-word crossword grids automatically.
- Creative Copy Inversion
- Generate punchy before-and-after advertising hooks by querying contrasting vocabulary for draft product headlines and promotional slogans.
- Sentiment Polarity Testing
- To calibrate lexicon-based sentiment models, data teams test opposing word pairs against text classification pipelines.
- Digital Workbook Drills
- When students complete a reading unit, education software pulls contrasting terms to build antonym matching drills and practice questions.
Other ways to use Word Opposites Skill
Set up Word Opposites 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: