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interzoid_tech_stack

Read-onlyIdempotent

Website technology stack detection: from a domain, identifies the CMS, frontend frameworks, backend technologies, web server, hosting provider, CDN, analytics tools, security technologies, and e-commerce platform. For technographic lead targeting, competitive research, and sales prospecting. Cost: $0.25 USDC via x402.

Input Schema

NameRequiredDescriptionDefault
lookupYesDomain name or company website to identify the tech stack for
languageNoOptional. Two-letter code for results in that language (default English): fr, de, it, es, ja, pt, zh, ar, nl, el, tr, ko, sv, vi, th, id. Same price in every language.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / language
      Added value: +{
      +  "description": "Optional. Two-letter code for results in that language (default English): fr, de, it, es, ja, pt, zh, ar, nl, el, tr, ko, sv, vi, th, id. Same price in every language.",
      +  "enum": [
      +    "fr",
      +    "de",
      +    "it",
      +    "es",
      +    "ja",
      +    "pt",
      +    "zh",
      +    "ar",
      +    "nl",
      +    "el",
      +    "tr",
      +    "ko",
      +    "sv",
      +    "vi",
      +    "th",
      +    "id"
      +  ],
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / lookup / examples
      Added value: +[
      +  "shopify.com"
      +]
  3. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety and determinism are covered elsewhere. The description's real contribution is the pricing disclosure ('$0.25 USDC via x402'), which is valuable for an agent deciding whether to call. It adds nothing about latency, rate limits, or behavior when a domain has no detectable stack.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two front-loaded sentences: capability first, then use cases, then cost. The technology enumeration is long but earns its place by telling the agent what comes back in the absence of an output schema. Slight cost for list density given that sibling names and descriptions could imply some categories.

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?

The tool emits a multi-category result but has no output schema, so the description's enumeration of detected technologies effectively doubles as a return-value overview, which is the right call. Pricing is disclosed. The only gap is what happens on a domain with no stack detected, which would help the agent interpret empty results.

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 both parameters carry descriptions plus an example and a full enum. The description only restates 'from a domain' and says nothing beyond the schema about format expectations (e.g., bare domain vs URL) or how the language option affects output. Baseline 3 applies.

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?

States a specific verb+resource ('Website technology stack detection: from a domain, identifies...') and enumerates the detected categories (CMS, frontend, backend, web server, hosting, CDN, analytics, security, e-commerce). No sibling tool covers technographics, so the tool is easily distinguished from business_info or competitor_analysis.

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?

Names concrete use cases (technographic lead targeting, competitive research, sales prospecting), which gives the agent a clear reason to select it over adjacent enrichment tools. It stops short of explicit when-not-to-use guidance or naming an alternative sibling.

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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