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Unblocker: any URL to clean Markdown

unblock
Read-only

Unblocker for AI agents: send {url} and get the page back as clean Markdown, with title, description, language, final URL and HTTP status. Gets through Cloudflare and other common bot protection and can render JavaScript-heavy pages. Set format to html or text for those instead. A page that can't be fetched (blocked, error status or empty) is not charged. No API key, proxy or account: pay per call in USDC over x402 (Base, Polygon) or MPP (Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesabsolute http or https URL of a public page, e.g. "https://example.com/"
formatNohow the page comes back in contentmarkdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare this a read-only, non-destructive, open-world call. The description adds genuinely new behavioral context the annotations cannot convey: bot-protection bypass, JavaScript rendering, no charge when a fetch fails (blocked, error, or empty), and the payment/auth model (no API key, pay per call in USDC over x402 or MPP). That is a rich disclosure of cost and failure semantics.

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?

Three tightly packed sentences with the core behavior front-loaded, then modifiers (format overrides), then cost semantics. Every clause earns its place; nothing is redundant padding.

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

Completeness5/5

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

With no output schema, the description compensates by naming the returned fields, and it additionally covers failure handling and the payment path. For a two-parameter page-fetch tool, an agent has everything needed to call it and interpret results.

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 description coverage is 100% and the schema itself documents url format, maxLength, the format enum and its default. The description only restates what format can be set to, adding no syntax or edge-case detail beyond the structured fields, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb and resource ('send {url} and get the page back as clean Markdown') and enumerates the return payload (title, description, language, final URL, HTTP status). It is clearly distinguishable from siblings like screenshot or web-search, which target images and search respectively rather than single-page extraction.

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 description implies the usage context (fetching a public page, including Cloudflare-protected or JS-heavy ones) and covers the format switch, but it never says when to pick this over sibling tools such as screenshot or web-search, nor does it state any exclusion beyond 'public page'.

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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