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Free AI readiness scan

scan_site

Free. Checks a website's robots.txt rules for AI crawlers (GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended, CCBot), llms.txt, schema.org JSON-LD, title and meta description, content in raw HTML, and sitemap. Returns a 0 to 100 score and grade, plus a link to unlock the checks and prioritized fixes for $2.99.

Input Schema

NameRequiredDescriptionDefault
urlYesWebsite URL, e.g. https://example.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare openWorldHint=true and destructiveHint=false, so the safety profile is partly covered. The description adds real value beyond them by disclosing the exact checks performed, the return format (score + grade), and the monetization/upsell path (a link to unlock prioritized fixes for $2.99), which the annotations do not reveal.

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 sentences, front-loaded with the 'Free' framing and then the check list plus return summary. The long parenthetical crawler list is dense but each item is informative; nothing is redundant or padding, though the enumeration could be slightly tighter.

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 single-parameter tool with no output schema, the description adequately covers what is inspected and what comes back (score, grade, unlock link). Minor gaps remain around error behavior and whether the page is fetched live, but nothing critical for correct invocation is missing.

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% with a single well-documented url parameter (including a format example), so the schema carries the semantics. The description adds no parameter-level detail beyond what is already structured, which matches the baseline 3.

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 names a specific verb (checks) and precisely enumerates the resource set: robots.txt AI-crawler rules, llms.txt, schema.org JSON-LD, title/meta description, raw-HTML content, and sitemap. It also states the output shape (0-100 score and grade), so an agent knows exactly what the tool does without opening the schema.

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: the leading 'Free.' signals this is a no-cost entry check, and the mention of a $2.99 unlock hints that deeper analysis lives elsewhere. There are no sibling tools to route against, but the description never states when to prefer this scan versus other approaches or what conditions make it inappropriate.

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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