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rayss868

Web-curl MCP Server

fetch_webpage

Retrieve text content from web pages with options for resource blocking, pagination, authentication, and custom JavaScript execution.

Instructions

Retrieve text content from a web page

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the webpage to fetch
blockResourcesNoWhether to block images, stylesheets, and fonts to improve performance (default: true)
resourceTypesToBlockNoList of resource types to block (e.g., "image", "stylesheet", "font")
timeoutNoNavigation timeout in milliseconds (default: 120000)
maxLengthNoMaximum number of characters to return (default: 10000).
startIndexYesStart character index for content extraction (required; default: 0).
headersNoCustom headers to include in the request
usernameNoUsername for basic authentication
passwordNoPassword for basic authentication
nextPageSelectorNoCSS selector for next page button/link (for auto-pagination, optional)
maxPagesNoMaximum number of pages to crawl (for auto-pagination, optional, default: 1)
evaluateScriptNoJavaScript code to execute on the page after loading. The result of the script will be returned.
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic operation. It doesn't disclose important behavioral traits like whether this makes network requests, has rate limits, requires authentication for certain sites, handles errors, returns structured data, or supports pagination beyond what's implied in parameters. The description is minimal compared to the tool's complexity.

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 a single, efficient sentence with zero waste. It's appropriately sized and front-loaded with the core purpose.

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

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex tool with 12 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what 'text content' means (HTML, plain text, structured data?), doesn't mention error handling, doesn't describe return format, and provides no context about the tool's capabilities beyond the minimal purpose statement.

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 the schema already documents all 12 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema descriptions. Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the tool's purpose as 'Retrieve text content from a web page' with a specific verb ('Retrieve') and resource ('text content from a web page'). It distinguishes from siblings like 'download_file' (which likely downloads files) and 'fetch_api' (which likely calls APIs), but doesn't explicitly differentiate from 'google_search' or 'smart_command'.

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 provides no guidance on when to use this tool versus alternatives like 'fetch_api' or 'google_search'. There's no mention of prerequisites, limitations, or typical use cases beyond the basic purpose statement.

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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