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benjaminsamson0210

nexusgrid-mcp

nexus_scrape

Fetch any webpage URL and convert it into clean, LLM-ready Markdown while removing ads, cookie banners, navigation, and clutter.

Instructions

Fetch any webpage URL and extract clean, LLM-optimized Markdown while stripping ads, cookie banners, navigation, and clutter. Powered by NexusScrape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe target webpage URL to scrape and convert to markdown.
only_mainNoWhether to isolate only main article content (default: true).
include_imagesNoWhether to retain markdown images in output (default: false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
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 usefully discloses what gets stripped (ads, cookie banners, navigation, clutter) and that output is markdown, but says nothing about authentication, rate limits, JS-rendered pages, timeouts, or failure behavior.

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?

Two sentences, front-loaded with the core action and effect. The trailing 'Powered by NexusScrape.' branding adds no operational value but is a minor tax.

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?

For a simple three-parameter scraping tool with no output schema and no annotations, the description covers the essential what and the stripping behavior, but omits failure modes and return characteristics an agent would want before invoking it.

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%, so all three parameters are already documented. The description adds no syntax, format, or defaulting detail beyond what the schema provides, making the baseline of 3 appropriate.

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 ('Fetch') and resource ('any webpage URL') and the concrete transformation applied ('extract clean, LLM-optimized Markdown'). The task is unambiguous and cannot be confused with the unrelated email-related siblings.

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

Usage Guidelines2/5

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

The description never states when to use this tool versus alternatives, nor any prerequisites or exclusions. There is only an implied 'give it a URL' usage, with no guidance on scenarios where it would fail or be inappropriate.

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