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Check page text without JavaScript

check_page_readability
Read-only

Fetches the public page at the given URL without running JavaScript, the way many AI crawlers do, and reports whether its main text is present in the HTML. Checks one page only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe full address of one public page, for example https://example.com/page.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
toolYes
cachedYes
limitsYes
statusYes
verdictYes
findingsYes
checked_atYes
report_urlYes
readabilityNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description still adds real behavioral context beyond that: no JavaScript is executed, correctness is judged on main-text presence in raw HTML, and only one page is analyzed per call. It says nothing about rate limits, redirect handling, or timeouts, but the core behavior is disclosed.

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

Conciseness5/5

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

Two tight sentences with no filler. The core mechanism (no JS, raw HTML) leads, and the one-page scope constraint is placed last as a qualifier, which is the right order.

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?

An output schema exists, so return values need not be described. Combined with annotations covering the safety profile and a schema that fully documents the single parameter, the description covers what remains: scope, mechanism, and the 'public page' restriction. Minor gaps (what happens on non-HTML or blocked responses) keep it from a 5.

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?

Schema coverage is 100% and the single url parameter already carries a format example and a 2000-char limit in the schema. The description adds no syntax or constraint detail beyond that, so the schema is doing all the work — the baseline 3.

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?

States a specific action on a specific resource: fetch a public page without executing JavaScript and report whether its main text is in the raw HTML. It is clear about what it does, though it never names the sibling it should be chosen over (e.g. check_page_visibility or check_ai_crawler_access), so differentiation is left to the reader.

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?

The phrase 'the way many AI crawlers do' implies the scenario (assessing crawler-visible content), and 'Checks one page only' scopes the call to a single URL. But there is no explicit when-to-use vs the several look-alike siblings in this family, and no stated prerequisites or exclusions.

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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