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datasets_techstack_search

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Search the website tech-stack dataset — find sites by the technologies they use (repeat technology for AND, any_of for OR, not to exclude). Costs 1 credit per record returned (minimum 2), so keep page_size to what you need.

Input Schema

NameRequiredDescriptionDefault
qNoOptional substring match on the site domain, max 256 characters.
cdnNoOptional exact CDN / hosting filter, e.g. Cloudflare, Fastly, Vercel.
cmsNoOptional exact CMS filter, e.g. WordPress, Shopify, Webflow.
notNoRepeatable exact technology name the site must NOT use (excludes).
tldNoOptional exact top-level-domain filter, e.g. com, org, io.
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: relevance, rank_asc, tech_count_desc, domain_asc, crawled_desc. Defaults to relevance with q, otherwise rank_asc.
any_ofNoRepeatable exact technology name; the site must use AT LEAST ONE (OR).
run_idNoOptional scan run id; defaults to the latest run.
categoryNoOptional exact category filter, e.g. Ecommerce, CMS, Analytics, Payment, CDN.
ecommerceNoOptional exact e-commerce platform filter, e.g. Shopify, WooCommerce, Magento.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.
reachableNoOptional filter; true keeps only sites whose homepage was fetched, false only sites that could not be fetched.
technologyNoRepeatable exact technology name the site MUST use (AND across all values), e.g. technology=Shopify&technology=Klaviyo. Use the names returned by search.
web_serverNoOptional exact web-server filter, e.g. nginx, Apache, IIS.
has_captchaNoOptional filter; true keeps only sites with a detected CAPTCHA.
render_tierNoOptional fetch-tier filter. Allowed values: http, browser.
seed_sourceNoOptional source filter for where the domain was discovered, e.g. tranco.
min_tech_countNoOptional minimum number of detected technologies, 0 or greater.
server_languageNoOptional exact server language / framework filter, e.g. PHP, ASP.NET, Ruby on Rails.
is_infrastructureNoOptional filter; false (the common case) excludes backend CDN/DNS/cloud-vendor hostnames that rank highly but were never meant to serve a public homepage, keeping only real, human-navigable sites. true keeps only those backend hostnames.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description goes beyond that by disclosing the billing model (1 credit per record, minimum 2), which is genuinely decision-relevant context absent from the structured fields.

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?

Two sentences, front-loaded with the capability and scoping rule, ending on a practical cost/pagination warning. No filler sentences.

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?

For a 21-parameter tool the description is fairly thin, though annotations cover safety, an output schema covers return values, and the schema covers parameters. Gaps remain around defaults, run_id behavior, and how this relates to sibling tools.

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%, so the schema already documents all 21 parameters, including the AND/OR/exclude semantics. The description's technology/any_of/not explanation largely restates what the schema says, so it earns only the baseline.

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?

States a specific verb (Search) and resource (website tech-stack dataset) and clarifies the core capability: finding sites by the technologies they use. It distinguishes from generic web search, though it does not explicitly differentiate from siblings like datasets_techstack_item or datasets_techstack_facets.

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?

It explains filter-combination semantics (repeat technology for AND, any_of for OR, not to exclude), which helps construct a query, and the cost note nudges page_size discipline. However, it gives no guidance on when to use this versus the item/facets siblings or the web_techstack tool.

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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