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Website Readability

WebsiteReadability
Read-only

Website Readability: Website Readability analyzes live web pages to score their reading difficulty and educational grade level. It returns Flesch Reading Ease, Flesch-Kincaid grade level, word count, sentence count, and estimated reading time. (Cost: 25 credits)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "WebsiteReadability"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe URL of the web page to analyze

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, openWorld, and non-destructive, so safety is covered. The description adds genuinely useful information the annotations lack: a 25-credit cost per call and the specific metric set returned. It still says nothing about fetching behavior, latency, or failures on unreachable pages.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose sentence is front-loaded and the metric list and cost are tight and useful. The only waste is the 'Website Readability:' prefix that simply restates the title before repeating the same two words in the sentence body.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only tool with an output schema and clear annotations, the description covers what it does, what it returns, and what it costs. Given an output schema exists, re-listing return fields is redundant but harmless; the only real gap is behavior on unreachable or script-rendered pages.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single required parameter with 100% schema description coverage, so the schema already fully documents it. The description adds no meaning beyond it, such as whether the URL must be publicly reachable or whether redirects are followed. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb and resource (analyzes live web pages for reading difficulty and grade level) and enumerates the metrics produced. It does not, however, distinguish itself from close siblings such as TextReadabilityScore or ReadingTimeCalculator, so an agent must infer that this one operates on a remote URL rather than supplied text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is only implied: 'live web pages' hints that this is the URL-based counterpart to text-scoring siblings, but no when-to-use/when-not-to-use rule or alternative is named. There is no statement about paywall, JS-rendered content, or blocked pages that would guide failure handling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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