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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 prioritized fixes.

Input Schema

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

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?

No annotations exist, so the description carries the full burden. It discloses the tool's scope (read-only inspection of publicly served files), that it is free, the exact checks performed, and the return shape (0-100 score plus prioritized fixes). It stops short of noting rate limits, auth requirements, or behavior on unreachable/invalid URLs, so it is strong but not exhaustive.

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 cost and scope, with zero filler. The parenthetical crawler list is long but earns its place by specifying exactly which bots are evaluated.

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 explains the return value (0-100 score, prioritized fixes), which is the key missing structured information. Only minor gaps remain: failure modes for invalid/unreachable URLs and any invocation constraints.

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?

Single parameter with 100% schema coverage, so the schema already documents the accepted URL format. The description adds nothing about URL syntax or constraints, so the baseline of 3 applies.

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?

States a specific verb ("Checks") and resource (a website's AI-readiness surfaces: robots.txt AI-crawler rules, llms.txt, JSON-LD, meta, raw HTML content, sitemap). An agent can immediately tell this is a site-readiness audit and what each check targets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to use it, what prerequisites exist, or when-not to use it. The word "Free" hints at no-cost/no-auth, but there is no explicit context for selecting this tool or any exclusion criteria.

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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