Spelling Correction Skill

Overview

Did You Mean works by analyzing the text provided and checking for spelling mistakes and suggestions powered by AI. This is similar to Google's did you mean. Suggestions are returned based on your input query

Live Test Spelling Correction Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as SpellingCorrectionSkill. 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.

Tool call

{
  "name": "SpellingCorrectionSkill",
  "arguments": {
    "query": "what weather today is"
  }
}

You do not name the tool yourself; the model picks it. Asking about what weather today is in the terms this skill covers is enough for it to reach for SpellingCorrectionSkill 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"
    }
  }
}

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.

Argument	Type	Description
`query`Required	string	The text you want to check for spelling mistakes

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.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "query": "what weather today is",
    "didYouMean": [
      "what is the weather today",
      "what's the weather like today",
      "what will be the weather today"
    ]
  }
}

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
`query`	string	`what weather today is`	Original input query text provided by user
`didYouMean`	array	`["what is the weather today","what's the weather like today","what will be the weather today"]`	Array of spelling suggestions and corrections

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

E-Commerce Search Suggestions: When shoppers mistype product names in a store search bar, display alternate spelling recommendations so they still find inventory.
Help Desk Query Fallback: To prevent dead ends in customer support portals, offer corrected search terms whenever a knowledge base query returns zero articles.
User Form Normalization: Clean user-submitted tags and profile fields during registration by matching misspellings against recommended corrections before saving entries to the database.
Chatbot Typo Recovery: Chatbots can parse incoming user messages with spelling mistakes and prompt users with suggested corrections before triggering fallback handlers.

Other ways to use Spelling Correction Skill

Set up Spelling Correction 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.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →

Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →