Skip to main content
Glama
AndrewEstopinan

Bright Data MCP Server

Extract structured metadata from a page

smart_extract

Extract structured data from any webpage: JSON-LD, Open Graph, Twitter cards, meta tags, and titles. Returns clean JSON for product info, article metadata, or schema.org markup without parsing HTML.

Instructions

Fetch a page and extract structured data: JSON-LD schema.org objects, Open Graph tags, Twitter card meta, standard meta description/keywords, and page title. Returns clean JSON. Useful for getting product info, article metadata, or any schema.org markup without parsing HTML.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
free_onlyNo
use_cacheNoUse cached HTML if available (default true).
force_bright_dataNo
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It mentions 'Returns clean JSON' but does not explain caching behavior, free_only vs forced Bright Data options, error handling, or rate limits. The parameters use_cache, free_only, and force_bright_data suggest complex behavior that remains undisclosed.

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 brief and well-structured: it states what the tool does, lists outputs, and gives example use cases in two sentences. Every word contributes value, and no unnecessary repetition or padding exists.

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?

The description adequately outlines the output data types, which is helpful given no output schema. However, it lacks parameter behavior details, explicit alternative guidance, and any mention of error scenarios or edge cases. For a tool with 4 parameters and a large sibling set, more context is needed for full completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% (only use_cache has a description). The tool description does not explain free_only, force_bright_data, or provide additional meaning for url. It lists extractable data types but fails to compensate for the low schema coverage, leaving parameter semantics unclear.

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 uses a specific verb ('extract') and resource ('structured data from a page'), explicitly listing JSON-LD, Open Graph, Twitter card meta, meta description/keywords, and title. This clearly distinguishes it from sibling tools like smart_scrape or web_scraper_trigger, which focus on raw HTML scraping.

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?

The description gives use cases ('useful for getting product info, article metadata, or any schema.org markup') which implies when to use it, but it does not explicitly contrast with alternatives or state when not to use it. With many closely related sibling tools, explicit exclusion guidance would be more helpful.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AndrewEstopinan/browser-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server