Skip to main content
Glama
lazymac2x

lazymac-mcp

tech_stack_detector

Identify technologies used on any website by analyzing its tech stack. This tool detects over 150 technologies to help developers understand what powers web applications.

Instructions

Detect 150+ technologies on any URL — BuiltWith alternative

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoFree-form params object — passed as query string for GET, JSON body for POST
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does (detects technologies) but provides no information about authentication requirements, rate limits, response format, error conditions, or whether it performs external network calls. For a tool that presumably makes HTTP requests to analyze URLs, this lack of behavioral context is significant.

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 that efficiently communicates the core functionality ('Detect 150+ technologies on any URL') and provides a helpful comparison point ('BuiltWith alternative'). Every word earns its place, and the information is front-loaded with the primary purpose stated first.

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?

Given the tool's complexity (detecting 150+ technologies via URL analysis), lack of annotations, no output schema, and a single but complex parameter (free-form object), the description is insufficient. It doesn't explain what technologies are detected, how results are returned, what the 'params' object should contain, or any limitations. The description should provide more context for effective tool 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 has 100% description coverage, documenting that it accepts a 'params' object with free-form parameters. The description adds no parameter-specific information beyond what the schema already provides. With high schema coverage and no additional parameter semantics in the description, the 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's purpose: 'Detect 150+ technologies on any URL' with a specific verb ('detect') and resource ('technologies on any URL'). It distinguishes itself from siblings by focusing on technology detection rather than AI, crypto, data, or other categories. However, it doesn't explicitly differentiate from potential similar tools like 'seo_analyzer' or 'smart_contract_scanner' within the same server.

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. It mentions 'BuiltWith alternative' as a comparison point, but doesn't explain when this tool is preferable over other technology detection methods or related sibling tools like 'seo_analyzer' or 'smart_contract_scanner'. There are no explicit when/when-not instructions or alternative recommendations.

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/lazymac2x/lazymac-mcp'

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