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evanlouie

Fetch MCP Server

by evanlouie

fetch

Retrieve web page content from any URL, extracting it as readable markdown while bypassing automated request blocks through browser impersonation.

Instructions

Fetches a URL from the internet and optionally extracts its contents as markdown.

This tool uses Chrome browser impersonation to access websites that might otherwise block automated requests, making it more reliable for fetching content from various sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNoGet the actual HTML content of the requested page, without simplification.
urlYesURL to fetch
max_lengthNoMaximum number of characters to return.
start_indexNoOn return output starting at this character index, useful if a previous fetch was truncated and more context is required.
Behavior3/5

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

The description discloses the use of Chrome impersonation and markdown extraction, adding value beyond the schema. However, with no annotations, it does not address potential issues like rate limits, errors, or return format details.

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 two sentences—concise and front-loaded. Every sentence provides useful information without unnecessary detail.

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?

Given no output schema, the description does not specify the return format or structure beyond markdown/HTML. It is adequate for a simple tool but lacks completeness for advanced usage.

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?

The input schema already describes all 4 parameters, and the tool description adds context about markdown extraction and the role of the 'raw' parameter, enhancing understanding beyond the schema alone.

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 clearly states the tool fetches a URL from the internet and extracts contents as markdown, which is specific and easy to understand. No sibling tools require differentiation.

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?

The description explains that the tool uses Chrome browser impersonation to handle blocked sites, providing context for when to use it. However, it lacks explicit guidance on when not to use it or alternatives.

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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