Website Readability Skill
The tool
Give your agent readability scoring. Call it as an MCP tool to fetch a page and score it across Flesch, Gunning Fog, SMOG and more.
Once your client is connected to the VerveKit MCP server, this appears in its tool list as WebsiteReadabilitySkill. 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.
{
"name": "WebsiteReadabilitySkill",
"arguments": {
"url": "https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts"
}
}What that looks like in a conversation
You don't name the tool — the model picks it. Asking about https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts in the terms this source covers is enough for it to reach for WebsiteReadabilitySkill 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.
{
"mcpServers": {
"vervekit": {
"url": "https://api.vervekit.com/v1/mcp"
}
}
}https://api.vervekit.com/v1/mcpPer-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.
| Argument | Type | Example | Description |
|---|---|---|---|
urlRequired | string | https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts | The URL of the web page to analyze |
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.
{
"status": "ok",
"error": null,
"data": {
"fleschReadingEase": 24.34,
"fleschReadingEaseText": "Very Confusing",
"fleschKincaidGrade": 19.3,
"gunningFog": 19.62,
"colemanLiauIndex": 13.12,
"smogIndex": 14.37,
"automatedReadabilityIndex": 22.6,
"daleChallReadabilityScore": 17,
"daleChallReadabilityScoreText": "average 13th to 15th-grade (college) student",
"wordCount": 634,
"sentenceCount": 29,
"readingTimeMinutes": 3,
"averageGradeLevel": 17.8,
"targetAudience": "post-graduate",
"url": "https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts"
}
}Fields
| Field | Type | Example | Description |
|---|---|---|---|
fleschReadingEase | number | 24.34 | Flesch Reading Ease score (0-100, higher is easier) |
fleschReadingEaseText | string | Very Confusing | Descriptive text interpretation of Flesch Reading Ease |
fleschKincaidGrade | number | 19.3 | Flesch-Kincaid Grade Level (US school grade equivalency) |
gunningFogPremium | number | 19.62 | Gunning Fog Index (years of education needed to understand) |
colemanLiauIndexPremium | number | 13.12 | Coleman-Liau Index (US grade level based on character count) |
smogIndexPremium | number | 14.37 | SMOG Index (years of education to understand text) |
automatedReadabilityIndexPremium | number | 22.6 | Automated Readability Index (US grade level estimate) |
daleChallReadabilityScorePremium | number | 17 | Dale-Chall Readability Score (educational level) |
daleChallReadabilityScoreTextPremium | string | average 13th to 15th-grade (college) student | Descriptive interpretation of Dale-Chall Readability Score |
wordCount | number | 634 | Number of words in the page's readable text |
sentenceCount | number | 29 | Number of sentences in the page's readable text |
readingTimeMinutes | number | 3 | Estimated reading time in minutes at an average adult reading speed of 238 words per minute |
averageGradeLevelPremium | number | 17.8 | Single averaged US school grade level digested from the grade-based indices (Flesch-Kincaid, Gunning Fog, Coleman-Liau, SMOG, ARI) — the one number that summarizes how much education a reader needs |
targetAudiencePremium | string | post-graduate | Reader band mapped from the average grade level: elementary, middle school, high school, college, post-graduate or general public |
url | string | https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts | The analyzed URL from the request |
Failure modes
Errors come back as tool errors with a sentence the model can act on, not a bare status code.
| Status | What it means |
|---|---|
400 / 422 | The arguments didn't validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Out of credits. Not a bad key — the month's allowance is spent. |
404 | This skill isn't part of VerveKit. Check the catalog. |
429 | Brief rate limit. Retrying after a moment succeeds. |
Other ways to use Website Readability Skill
Set up Website Readability 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.
Frequently asked questions
Do I have to tell the agent to use WebsiteReadabilitySkill?
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?
5 credits 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.