Anagram Detector SkillAnagram Detector Skill

OnlineCredit Usage:1 per callTool:AnagramDetectorSkill

The tool

Anagram Detector performs comprehensive anagram analysis with character frequency breakdowns, common and unique character identification, and similarity percentage calculations.

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

Tool call
{
  "name": "AnagramDetectorSkill",
  "arguments": {
    "text1": "listen",
    "text2": "silent"
  }
}

What that looks like in a conversation

You don't name the tool — the model picks it. Asking about listen in the terms this source covers is enough for it to reach for AnagramDetectorSkill on its own.

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.

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

Per-client setup — Claude Desktop, 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.

ArgumentTypeExampleDescription
text1RequiredstringlistenThe first text to compare
text2RequiredstringsilentThe second text to compare
ignorecasebooleantrueIgnore case when comparing (default: true)
ignorespacesbooleantrueIgnore spaces when comparing (default: true)

What the model gets back

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

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "text1": "listen",
    "text2": "silent",
    "is_anagram": true,
    "cleaned_text1": "listen",
    "cleaned_text2": "silent",
    "sorted_text1": "eilnst",
    "sorted_text2": "eilnst",
    "length_text1": 6,
    "length_text2": 6,
    "similarity_percentage": 100
  }
}

Fields

Fields marked Premium need a paid plan. On a plan without them the key is absent rather than wrong, so a model never reasons over a substituted value.
FieldTypeExampleDescription
text1stringlistenThe first input text provided for comparison
text2stringsilentThe second input text provided for comparison
is_anagrambooleantrueBoolean indicating whether the texts are anagrams
cleaned_text1stringlistenFirst text after applying ignore case and space options
cleaned_text2stringsilentSecond text after applying ignore case and space options
sorted_text1PremiumstringeilnstCharacters of first text sorted alphabetically
sorted_text2PremiumstringeilnstCharacters of second text sorted alphabetically
length_text1number6Character count of the first text
length_text2number6Character count of the second text
similarity_percentagePremiumnumber100Percentage similarity score between the two texts

Failure modes

Errors come back as tool errors with a sentence the model can act on, not a bare status code.

StatusWhat it means
400 / 422The arguments didn't validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Out of credits. Not a bad key — the month's allowance is spent.
404This skill isn't part of VerveKit. Check the catalog.
429Brief rate limit. Retrying after a moment succeeds.

Other ways to use Anagram Detector Skill

Set up Anagram Detector 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.APIVerveReference →
Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →

Frequently asked questions

Do I have to tell the agent to use AnagramDetectorSkill?

No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.

Does connecting the server expose every tool at once?

Yes — one connection lists the whole VerveKit catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.

What does a call cost?

1 credit each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.

Is there a REST version of this?

Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.

What's Next?

Continue your journey with these recommended resources

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