Text Summarization Skill

Overview

Text Summarizer works by analyzing the text provided and generating a concise summary. It uses advanced algorithms and ai models to identify key points and generate a summary that captures the essence of the text.

Live Test Text Summarization Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as TextSummarizationSkill. 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": "TextSummarizationSkill",
  "arguments": {
    "text": "Artificial intelligence is transforming industries worldwide. Machine learning algorithms can now process vast amounts of data to identify patterns and make predictions. This technology is being applied in healthcare, finance, transportation, and many other sectors."
  }
}

You do not name the tool yourself; the model picks it. Asking about Artificial intelligence is transforming industries worldwide. Machine learning algorithms can now process vast amounts of data to identify patterns and make predictions. This technology is being applied in healthcare, finance, transportation, and many other sectors. in the terms this skill covers is enough for it to reach for TextSummarizationSkill 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 summarize (up to 5000 characters) length 0–50000
`sentences`Optional	number	The length of the summary (number of sentences) default 3

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": {
    "originalWords": 67,
    "summaryWords": 30,
    "percentDifference": 44.78,
    "summary": "Headlines can be used to focus the reader's attention on a particular (or main) part of the article. A news article can include accounts of eyewitnesses to the happening event."
  }
}

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
`originalWords`Premium	number	`67`	Total word count in the original text input
`summaryWords`Premium	number	`30`	Total word count in the generated summary output
`percentDifference`Premium	number	`44.78`	Percentage reduction from original to summary text
`summary`	string	`Headlines can be used to focus the reader's attention on a particular (or main) part of the article. A news article can include accounts of eyewitnesses to the happening event.`	The condensed text summary capturing key points

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

News Reader Briefs: News reader apps condense long-form reporting into three-sentence briefs so subscribers can scan top stories quickly on mobile screens.
Research Paper Previews: Generate short executive previews for submitted PDF reports before users download the full research file.
Support Ticket Triage: When support tickets arrive with lengthy complaint logs, summarize the core issue to help agents triage priority cases faster.
Newsletter Digest Creation: Content curation platforms convert weekly industry articles into concise snippet summaries for automated email roundups.

Other ways to use Text Summarization Skill

Set up Text Summarization 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 →