Spell Checker Skill

Overview

Spell Checker works by using a dictionary of words to check the spelling of a given text. Using advanced algorithms and the entire English dictionary, it returns the corrected text.

Live Test Spell Checker Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as SpellCheckerSkill. 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": "SpellCheckerSkill",
  "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 SpellCheckerSkill 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
`text`Required	string	The text to check the spelling of length 0–50000

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": {
    "spellPass": false,
    "mispellingsFound": 2,
    "corrections": [
      {
        "word": "neeed",
        "suggestions": [
          "needed",
          "need",
          "needy",
          "Neel",
          "needs"
        ]
      },
      {
        "word": "telephine",
        "suggestions": [
          "telephone",
          "telephoned",
          "telephoner",
          "telephones",
          "telephony"
        ]
      }
    ]
  }
}

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
`spellPass`	boolean	`false`	Whether the text passed the spell check with no misspellings detected
`mispellingsFound`	number	`2`	Count of distinct misspelled words found in the text (a word repeated multiple times is only counted once)
`corrections`	array[2]		List of distinct misspelled words found in the text, each with suggested corrections
`corrections.0.word`	string	`neeed`	The misspelled word as it appeared in the text
`corrections.0.suggestions`	array	`["needed","need","needy"]`	Up to five candidate correct spellings for the misspelled word, ordered by the dictionary's relevance ranking

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

Use cases

Rich Text Editors: Flag typos in user-submitted drafts in real time and display replacement suggestions directly inside the editing interface.
Customer Support Chat: Before sending agent replies to customers, scan message drafts to detect misspelled words and prevent communication errors.
Form Submission Sanitization: Job boards inspect candidate resumes and cover letters upon upload to tally spelling mistakes before forwarding applications to recruiters.
Student Essay Assessment: To automate rubric scoring, learning platforms scan student papers to count uncorrected typos and show teachers the identified errors.

Other ways to use Spell Checker Skill

Set up Spell Checker 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 →