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domain_overview

Read-only

Combines open-data signals for one domain. Returns a limited free result and paid upgrade links. Apify Actor links can be paid with x402 via Apify, no Apify account needed. Send Authorization: Bearer tt_… for full results billed in TidyTools credits. Use for one domain. Not for batch work or unrestricted monitoring. Free: 3 per IP per UTC day; shared AI caller/ASN pool 50; 100 globally per day.

Input Schema

NameRequiredDescriptionDefault
urlNoWebsite URL alias for domain; supply one of domain or url.
domainNoOne public domain.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / anyOf
      Added value: +[
      +  {
      +    "required": [
      +      "domain"
      +    ]
      +  },
      +  {
      +    "required": [
      +      "url"
      +    ]
      +  }
      +]
    • addedInput schema / properties / url
      Added value: +{
      +  "description": "Website URL alias for domain; supply one of domain or url.",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "domain"
      -]New value: +[]
  2. Added

TDQS

A4.1/5.0
Behavior5/5

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

Annotations only cover readOnlyHint and openWorldHint; the description adds substantial context beyond them: partial free results with paid upgrade links, the x402/Apify payment path with no account required, Bearer tt_ auth for credited full results, and exact per-IP/ASN/global daily quota numbers. This is exactly the operational detail an agent needs before calling.

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?

Purpose is front-loaded, then payment model, then limits — a sensible order. "Use for one domain" mildly restates the opening sentence and the rate-limit sentence is dense, but no sentence is truly wasted.

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 read-only, two-parameter tool with no output schema, the agent knows cost, auth, limits, and that results are partial unless credited. The remaining gap is that it never says which signals the overview contains, leaving the return content blurry.

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 coverage is 100% and the schema already documents url as an alias for domain and the one-of requirement. The description adds no further semantics about format or normalization beyond what the schema states, so baseline 3 applies.

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 and resource — combines open-data signals for one domain — so an agent knows it is an aggregation tool. However, it never names which signals (authority, whois, traffic, referring domains) or distinguishes itself from the many domain_* siblings, so the agent cannot tell from the description alone what data it covers.

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?

"Use for one domain. Not for batch work or unrestricted monitoring" gives explicit scope and exclusions. It stops short of naming a concrete alternative for batch use, but the when-not guidance is unambiguous.

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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