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mzxrai

MCP Web Research Server

by mzxrai

visit_page

Extract webpage content or capture a screenshot by providing a URL. Use this tool to gather real-time web data for research or analysis on the MCP Web Research Server.

Instructions

Visit a webpage and extract its content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
takeScreenshotNoWhether to take a screenshot
urlYesURL to visit
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions visiting and extracting content but fails to describe important traits: what 'extract content' means (HTML, text, metadata?), whether authentication is needed, rate limits, timeouts, or what happens with invalid URLs. This leaves significant gaps for a tool that interacts with external resources.

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 extremely concise with just one sentence containing no wasted words. It's front-loaded with the core purpose and efficiently communicates the essential function without unnecessary elaboration.

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 tool with no annotations and no output schema that performs external web interactions, the description is insufficient. It doesn't explain what 'extract its content' returns, doesn't mention error conditions or limitations, and provides minimal behavioral context. Given the complexity of web scraping/visiting operations, this leaves too many unknowns.

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 both parameters adequately. The description adds no additional parameter semantics beyond what's in the schema descriptions. The baseline of 3 is appropriate when the 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 with specific verbs ('visit' and 'extract') and resource ('webpage content'). It distinguishes from sibling 'take_screenshot' by mentioning content extraction, though it doesn't explicitly differentiate from 'search_google' which likely has different functionality.

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 'search_google' or 'take_screenshot'. It doesn't mention prerequisites, constraints, or appropriate contexts for usage, leaving the agent with minimal direction.

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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