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InfinityScrape MCP

InfinityScrape MCP

compare_page_diff

Compare old and current webpage versions or text to detect pricing shifts, added or removed feature sections, and overall content similarity percentage.

Instructions

Temporal Page Diff & Change Radar: Compares two versions of a webpage or text, detecting pricing shifts, added/removed feature sections, and calculating overall content similarity percentage.

Args: old_content_or_url: Historical text/markdown or URL. new_content_or_url: Current live text/markdown or URL.

Input Schema

NameRequiredDescriptionDefault
new_content_or_urlYes
old_content_or_urlYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose useful behavior: both args accept either raw text/markdown or a URL, and the tool detects specific diff categories plus a similarity score. It omits whether URLs are fetched over the network, size/rate limits, failure behavior for unreachable pages, and whether mixed input types are allowed.

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?

Short and front-loaded: capability and detected change types come first, then a compact Args block. The 'Temporal Page Diff & Change Radar' label is slightly decorative and the Args list restates parameter names, but overall there is little waste.

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

Completeness3/5

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 no explanation, and both required params are glossed. For a two-input diff tool the key missing context is whether URLs are live-fetched and what happens on fetch failure or size limits, which affects whether an agent should pass a URL or pre-extracted text.

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 0% — the schema only types both fields as string with no title-level explanation beyond the names. The description compensates partially by clarifying each field accepts 'text/markdown or URL' and pinning old vs current semantics, but adds no format, size, or mixed-input rules, leaving the 0% coverage gap not fully closed.

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 ('Compares two versions of a webpage or text') and enumerates the concrete outputs: pricing shifts, added/removed feature sections, and a similarity percentage. No sibling in the list does diffing, so an agent can route here without opening another schema.

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 by the arg glosses ('Historical' vs 'Current live'), which hints at the post-change-verification use case. There is no explicit when-to-use guidance, no mention of whether the caller must scrape first via scrape_url, and no stated alternative.

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