Skip to main content
Glama

MCPFax Web Extract

Read a web page as clean text

read_page

Fetch a URL and return its readable text with scripts, styles, navigation and markup stripped, plus the title, description, site name and publication date from the page's own metadata. Use whenever you need the contents of a page rather than a search result about it. Output is capped so it fits a prompt — raise maxChars if you need more. JavaScript is not executed, so a page that renders entirely client-side returns its shell, and the character count tells you when that happened. A site that blocks automated clients is reported honestly and is NOT charged. Costs $0.008 USDC per call via x402 on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAbsolute http(s) URL of the page to read.
maxCharsNoMaximum characters of text to return. Default 12000, maximum 60000.

TDQS

A4.7/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It covers JavaScript non-execution, shell-page detection via character count, honest blocking reporting, output cap behavior, and pricing/cost details. This is far more transparent than the typical tool description.

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?

The description is dense but efficiently structured: core behavior first, usage guidance second, behavioral caveats next, and cost last. No sentence is filler; each adds distinct operational information an agent needs.

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?

There is no output schema and no annotations, yet the description tells the agent what will be returned, how to adjust limits, what the failure modes are, and even the cost implications. For a read-only page-fetching tool, this is complete enough for correct invocation and expectation-setting.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real value beyond the schema: it explains the output cap semantics, how maxChars relates to prompt-fit, and how the character count can indicate client-side rendering. This contextualizes parameters rather than merely restating their schema types.

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?

The description opens with a specific action and resource: 'Fetch a URL and return its readable text,' and enumerates the exact outputs (title, description, site name, publication date, stripped content). This is unambiguous and clearly distinguishes the tool from a search or link-extraction utility.

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

Usage Guidelines4/5

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

It explicitly says 'Use whenever you need the contents of a page rather than a search result about it,' giving a clear invocation context. It does not explicitly name sibling tools or when NOT to use it, but the usage rule is actionable and sufficiently scoped.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation5/5

Each tool serves a clearly distinct purpose: demand_report aggregates market demand, page_links extracts URLs, read_page fetches page content, and request_data handles custom data inquiries. There is no functional overlap or ambiguity between them.

Naming Consistency4/5

Two tools follow a noun_noun pattern (demand_report, page_links) while two follow verb_noun (read_page, request_data). The mix is minor but inconsistent, yet all names remain intuitive and descriptive.

Tool Count5/5

With four tools, the server is well-scoped for its dual purpose of web extraction and demand aggregation. Each tool earns its place, and the count is neither too thin nor excessive.

Completeness4/5

Core extraction capabilities—fetching readable content and enumerating links—are covered, with additional market intelligence tools. Missing advanced features like JavaScript rendering or screenshots are stated limitations rather than obvious gaps.

Resources