Skip to main content
Glama
yubao2000

mcp-browser-agent

by yubao2000

browser_extract

Extract text or attribute values from web pages using optional CSS selectors, returning the content for further processing.

Instructions

提取页面文字内容。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
selectorNoCSS 选择器,留空则提取整页可见文本
attributeNo提取属性值(如 'href'),配合 selector 使用

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral transparency. It implies a read-only operation ('extract') but does not disclose potential side effects, failure modes, or authorization requirements, offering only minimal insight.

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, concise sentence that is front-loaded with the primary action and object. It contains no fluff or redundant information.

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 the simplicity of the tool and the absence of an output schema, the description is somewhat incomplete. It does not specify the return format (e.g., string of text or attribute value) or behavior when no element matches, but the core purpose is clear enough for basic use.

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?

The input schema fully describes both parameters (selector and attribute) with clear explanations, achieving 100% coverage. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 extracts page text content, a specific verb-object pair. It is distinguishable from siblings like getHTML and getTitle, though it does not explicitly mention attribute extraction which is defined in the schema.

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 compared to alternatives such as getHTML or evaluate. There is no mention of scenarios where this tool is preferred or dispreferred.

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

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/yubao2000/mcp-browser-server'

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