Skip to main content
Glama

Web Intelligence Tools — Zinin M2M Hub

Tech Stack Change Detector

tech-stack-change-detector
Read-only

Detect a website's current technologies (CMS, ecommerce, analytics, marketing/CRM, framework, hosting/CDN, chat, payments) and diff it against a previously-seen stack you supply, so you get exactly what was added or removed. No browser, no proxies, no login. — $0.01/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesOne entry per domain. Bare form: "example.com" (just detects the current stack). Diff form: "example.com|Tech1,Tech2,Tech3" — everything after the pipe is the stack you last saw for this domain; the Actor returns what was added/removed vs. right now.
maxConcurrencyNoHow many domains to check in parallel.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true. The description adds meaningful context: 'No browser, no proxies, no login' and pricing ($0.01/call, x402). These details go beyond annotations and set expectations for execution environment and cost, without contradicting the read-only nature.

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, information-dense sentence that front-loads the core functionality and includes a brief pricing note. No filler or redundancy; every word contributes to understanding what the tool does and its constraints.

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

Completeness4/5

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

For a tool with 2 params and no output schema, the description adequately covers the main use case, diff input format (mentioning 'previously-seen stack'), and key operational traits (no browser/proxies). It doesn't describe the output structure, but the phrase 'exactly what was added or removed' gives enough of a picture for simple usage.

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%, and the schema itself explains the 'items' format (bare or diff form) and 'maxConcurrency'. The description adds no new parameter syntax beyond what the schema provides, so the baseline 3 is appropriate.

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 clearly states the tool's function: 'Detect a website's current technologies ... and diff it against a previously-seen stack you supply, so you get exactly what was added or removed.' This uses a specific verb (detect and diff) and resource (website stack), and distinguishes from the sibling 'tech-stack-detector' by emphasizing the comparison against a supplied baseline.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'previously-seen stack you supply' clearly indicates this tool is for change detection when a prior stack is known, implicitly differentiating from simpler detection tools. It does not explicitly name alternatives or state 'when not to use', but the context is strong and the pricing note adds practical guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clear distinct purposes, but url-to-markdown and structured-extract both fetch a single URL and could be confused; tech-stack-detector and tech-stack-change-detector are closely related but descriptions clarify the difference. Overall, the tool set is well-differentiated.

Naming Consistency4/5

The majority of tools use lowercase hyphenated names (e.g., domain-health-checker, url-to-markdown), but pricing_info breaks the pattern with an underscore. There is also some variation in style (detector vs. to-knowledge vs. extract), but it remains readable and predictable overall.

Tool Count5/5

Ten tools is well within the ideal range for a web intelligence bundle, covering domain health, store data, content extraction, and tech stack detection without feeling bloated or sparse. Each tool earns its place for specific use cases.

Completeness4/5

The surface covers major web intelligence needs: domain audits, Shopify/Zid store data, content fetching/transformation, and tech stack detection. Minor gaps exist, such as no generic price-change monitor for non-Shopify stores and no whois/backlink tools, but these are not critical for the stated purpose.

Resources