Overview
Remove Punctuation works by identifying and removing all standard punctuation characters (including quotes, brackets, dashes, and special symbols) from text. Returns the cleaned text, list of removed characters, and count.
Live Test Remove Punctuation Skill Skill →
The tool
Once your client is connected to the VerveKit server, this appears in its tool list as RemovePunctuationSkill. 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": "RemovePunctuationSkill",
"arguments": {
"text": "Hello, World! How are you?"
}
}You do not name the tool yourself; the model picks it. Asking about Hello, World! How are you? in the terms this skill covers is enough for it to reach for RemovePunctuationSkill 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 |
|---|---|---|
textRequired | string | The text to remove punctuation from |
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": {
"cleaned": "Hello world How are you doing today Im great thanks for asking This text has lots of punctuation periods commas hyphens more",
"punctuation_removed": [
"!",
"&",
"'",
",",
"-",
".",
":",
"?"
],
"count": 11
}
}
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 |
|---|---|---|---|
cleaned | string | Hello world How are you doing today Im great thanks for asking This text has lots of punctuation periods commas hyphens more | Text with all punctuation removed |
punctuation_removedPremium | array | ["!","&","'"] | List of punctuation characters removed |
countPremium | number | 11 | Total count of punctuation characters removed |
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 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Text Analysis
- Clean text data before performing word frequency analysis, sentiment analysis, or natural language processing
- Search Optimization
- Remove punctuation from search queries to improve matching and relevance in search systems
- Data Normalization
- Standardize text data by removing punctuation before comparison or deduplication
- Content Processing
- Clean user input or scraped content by removing punctuation for storage or display
Other ways to use Remove Punctuation Skill
Set up Remove Punctuation 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: