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scrape_pages

Read-onlyIdempotent

Scrape up to 100 pages in parallel with real stealth browsers — no AI. Returns one result per URL: final URL, title, visible text, structured item cards and interactive elements. Charges 0.002 XNO per page via x402 (price scales with the number of pages).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesJSON list of 1-100 pages to scrape: ["https://a.com", "https://b.com"]
elementsNoInclude the interactive-element list per page.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive behavior, so the bar is lower; the description still adds substantive context the annotations cannot convey — the stealth-browser execution model, the absence of AI, and a concrete cost model (0.002 XNO per page via x402, scaling with page count). It does not describe partial-failure behavior, which is the main remaining gap.

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?

Three tight sentences with the core capability front-loaded, then return shape, then cost. The clause 'price scales with the number of pages' mildly restates the per-page price, but overall there is little waste.

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?

With an output schema present, return values need not be spelled out, and annotations cover the safety profile; the description nevertheless adds execution model and pricing. Only edge-case behavior (per-URL failures, concurrency limits) is unaddressed, which is a minor gap for a batch scraper.

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 both parameters (urls, elements) are documented in the schema itself, so the schema carries the semantics. The description adds only the 1-100 range in prose, which the schema already states, so it lands at the baseline.

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 names a specific verb and resource (scrape pages) and states scale and mode ('up to 100 pages in parallel with real stealth browsers'). It implicitly separates itself from the singular sibling scrape_page and the AI-driven browser_agent, but never names an alternative outright.

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 is only implied: the batch scale points away from scrape_page and 'no AI' points away from browser_agent, but there is no explicit statement of when to pick this tool over those siblings, nor any prerequisite or exclusion guidance.

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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