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rankparse-mcp

get_tech_stack

Read-onlyIdempotent

Real-time technology detection for a domain: frameworks, CMS, analytics, CDN, hosting, e-commerce, payments, and more (50+ technologies)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds the 'real-time' aspect, which implies a live network call and potential latency, and lists supported technology categories, but does not disclose response format, pagination, rate limits, or failure behavior. This adds some behavioral context beyond annotations but not rich.

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, focused sentence that front-loads the core action ('Real-time technology detection') and efficiently enumerates categories. No unnecessary words or repetition.

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 tool has a single parameter and no output schema, so the description carries some responsibility to explain return expectations. It implies the result is a list of detected technologies with categories, but never explicitly states what the return looks like or whether it includes versions, confidence scores, etc. The simplicity of the tool and available annotations keep it from being wholly inadequate, but it is missing output clarity.

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?

The schema has one parameter, 'domain' (string) with zero description coverage. The description mentions 'for a domain', confirming the input, but does not elaborate on format, constraints (e.g., protocol, subdomains, validity), or example values. Given the low schema coverage, the description should compensate more than it does.

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 purpose: real-time technology detection for a domain, listing specific categories (frameworks, CMS, analytics, etc.) and a scope of 50+ technologies. This distinguishes it from sibling tools like get_platform_domains and get_platform_trends by focusing on domain-level tech stack detection.

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 implies usage: if you need to identify a domain's technology stack, use this tool. However, it does not explicitly state when to use it over alternatives or provide any exclusion criteria. The 'real-time' mention suggests a live check, but minimal guidance is given.

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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TDQS

A3.5/5.0
Disambiguation4/5

The tool set is largely well-disambiguated with clear prefixes (get_, outreach_, zeekeo_) and detailed descriptions for each tool. Some tools like get_site_explorer and get_site_health could be confused at a glance, but their descriptions clearly separate their purposes. Overall, the naming and descriptions prevent meaningful ambiguity.

Naming Consistency5/5

All tools follow a consistent get_ prefix for data retrieval, with sub-prefixes like get_gsc_, get_page_, and outreach_/zeekeo_ for distinct workflows. There is no mixing of naming conventions (e.g., camelCase) or inconsistent verb usage. The naming pattern is uniform and predictable.

Tool Count1/5

With 63 tools, this server vastly exceeds the typical 3-15 tool scope, categorizing as an extreme overflow. Even for a comprehensive SEO and outreach suite, the sheer number is overwhelming and likely includes redundant or overlapping functionality. This would be confusing for agents and users alike.

Completeness4/5

The tool set covers a wide range of SEO, backlink analysis, Google Search Console data, and outreach workflows, appearing nearly complete for its stated purpose. However, several tools are marked as 'v1 stub' (e.g., get_internal_links, get_schema_markup), indicating incomplete functionality. Despite these gaps, the overall coverage is extensive and well-rounded.

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