Emoji Lookup Skill

Overview

Submit a raw emoji character, descriptive tag, or one of ten supported categories such as food or animals. The service queries matching records and returns matching characters with their official descriptions and category groupings. Paid plans add Unicode standard versions, iOS release compatibility, code points, aliases, and associated tags.

Live Test Emoji Lookup Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as EmojiLookupSkill. 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": "EmojiLookupSkill",
  "arguments": {
    "emoji": "🥳"
  }
}

You do not name the tool yourself; the model picks it. Asking about 🥳 in the terms this skill covers is enough for it to reach for EmojiLookupSkill 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
`emoji`Required	string	The emoji for which you want to get the text representation (e.g., 🥳)

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": {
    "count": 1,
    "emojisFound": [
      {
        "emoji": "🥳",
        "description": "partying face",
        "category": "Smileys & Emotion",
        "aliases": [
          "partying_face"
        ],
        "tags": [
          "celebration",
          "birthday"
        ],
        "unicode_version": "11.0",
        "ios_version": "12.1",
        "codePoint": "1f973"
      }
    ]
  }
}

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
`count`	number	`1`	Number of emoji results found in response
`emojisFound`	array[1]		Array of emoji objects with detailed information
`emojisFound.0.emoji`	string	`🥳`	The emoji character symbol
`emojisFound.0.description`	string	`partying face`	Human-readable description of the emoji
`emojisFound.0.category`	string	`Smileys & Emotion`	Emoji category classification for organization
`emojisFound.0.aliases`Premium	array	`["partying_face"]`	Alternative names for the emoji
`emojisFound.0.tags`Premium	array	`["celebration","birthday"]`	Tags describing emoji meaning and usage
`emojisFound.0.unicode_version`Premium	string	`11.0`	Unicode standard version where emoji was introduced
`emojisFound.0.ios_version`Premium	string	`12.1`	iOS version when emoji was first supported
`emojisFound.0.codePoint`Premium	string	`1f973`	Hexadecimal Unicode code point value. Emoji made of several code points - flags, ZWJ sequences, skin-tone variants - list all of them separated by spaces, e.g. "1f1fa 1f1f8" for the US flag

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

Screen Reader Alt Text: To generate accessible image labels, content systems map raw emoji to their official descriptions so screen readers pronounce every character accurately.
Emoji Autocomplete Menus: Chat applications search emoji tags and categories to populate keyboard suggestions and picker dropdowns while users type messages.
Social Feedback Triage: When evaluating incoming comments, sentiment pipelines convert raw emoji symbols into text descriptions before running rule-based classifiers.
Topic Icon Categorization: Before displaying user-submitted topic icons, community forums look up category classifications to sort discussion badges into matching sections.

Other ways to use Emoji Lookup Skill

Set up Emoji Lookup 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 →

Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →