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AI Crawler Access Checker

ai-crawler-access-checker
Read-only

Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website. Bulk audit of robots.txt rules, llms.txt presence and sitemap for AI search visibility (GEO/AEO). — $0.01/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
websitesYesList of website URLs or domains to audit (e.g. `example.com` or `https://example.com`).
maxConcurrencyNoHow many websites to check in parallel.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false. The description adds valuable behavioral context beyond this: it specifies the exact checks (robots.txt, llms.txt, sitemap) and the cost per call ($0.01/call, x402 USDC), which helps an agent understand the tool's side effects and commercial implications. No contradiction with annotations.

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?

The description is two sentences plus a pricing tag, with the main purpose front-loaded. Every sentence is informative, and the pricing note is a useful operational detail. It's concise but not overly sparse.

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?

Given 2 simple parameters, a read-only annotation, and no output schema, the description is complete enough for an agent to decide to invoke it. It explains the audit targets and the pricing. It doesn't describe the output format, but for a 'checker' tool this is relatively predictable and not a major gap.

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%: both 'websites' and 'maxConcurrency' have descriptive text in the schema. The description doesn't add significant parameter-level meaning beyond mentioning 'bulk audit' and the target crawlers, so it relies on the schema. Baseline 3 is appropriate.

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 uses a specific verb ('Check') and resource ('which AI crawlers can access your website'), listing concrete crawler names (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) and the audit elements (robots.txt, llms.txt, sitemap). This clearly distinguishes it from sibling tools like llms-txt-auditor or ai-overview-tracker.

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?

The description provides clear context: it's for auditing AI crawler access for AI search visibility (GEO/AEO) in bulk. It doesn't explicitly state when not to use it or name alternatives, but the usage context is well implied for an AI agent.

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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TDQS

A4/5.0
Disambiguation2/5

Several tools have overlapping purposes: ai-crawler-access-checker and llms-txt-auditor both check robots.txt for AI crawler access, while ai-answer-change-alert, ai-overview-tracker, and llm-brand-visibility all track AI-generated citations/visibility. An agent may struggle to pick the right one without reading full descriptions.

Naming Consistency4/5

Most tools use lowercase hyphenated noun phrases (e.g., ai-answer-change-alert, social-preview-checker), but pricing_info uses an underscore, breaking the otherwise consistent pattern. Minor deviation but still readable.

Tool Count5/5

Seven tools is well-scoped for a specialized SEO/AI-visibility server. Each tool addresses a distinct aspect (crawler access, llms.txt, AI citations, brand visibility, social previews) without being excessive, and the pricing_info helper is a sensible addition.

Completeness4/5

The set covers the core AI-era SEO workflow: audit AI crawler access, validate llms.txt, track AI overview citations, monitor answer changes, and check brand visibility. Missing obvious features like generating llms.txt or deeper competitor analysis, but no critical dead ends.

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