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Site detail

get_site
Read-onlyIdempotent

Everything we have on one tracked site: monthly traffic history, channels, top countries, engagement, keywords, backlinks/DR, tech stack, payment providers with fingerprint evidence, pricing, estimated revenue range and grade, cross-check verdict, AI take (who it helps, why it wins, red flags) and competitors. Requires an API key (Authorization: Bearer nsr_… or x-api-key: nsr_…): free key from https://newsiteradar.com/mcp (20 calls a day, Pro-only fields hidden) or Pro.

Input Schema

NameRequiredDescriptionDefault
domainYesBare domain, e.g. example.ai

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 cover the safety profile (readOnly, idempotent, non-destructive), and the description adds real behavioral context beyond them: required API key with two accepted header formats, a 20-call/day free quota, and the fact that Pro-only fields are hidden on free keys. It does not say what happens when the domain is not tracked, which keeps it from a 5.

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 and returned contents are front-loaded in one dense sentence, followed by the auth/quota sentence. Every clause carries information, though the long comma-separated enumeration of return fields is heavy and slightly hard to scan.

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?

With no output schema, the description correctly compensates by enumerating the returned sections, and it covers authentication and quota. It is nearly complete for a read-only detail tool; only error/empty-result behavior for untracked domains is unaddressed.

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 single 'domain' parameter is fully specified with a regex pattern, maxLength, and an example ('example.ai'). The description adds nothing beyond the schema, so the baseline 3 for high-coverage schemas 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?

The description names the resource precisely ('one tracked site') and enumerates the returned data domains, so an agent can immediately tell this is a full-detail lookup rather than a list. It implicitly contrasts with the sibling search_sites via 'one tracked site', though it never names the alternative explicitly, keeping it short of a 5.

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?

Usage is only implied: you call it when you need everything about a single site. There is no explicit when-to-use/when-not guidance, no note about first resolving a domain via search_sites, and no mention of behavior for untracked domains. The auth and quota notes are operational context, not selection guidance.

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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