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AI search readiness MCP: score a site for ChatGPT/Claude/Perplexity crawlers. 3 free/day.

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Status
Healthy
Uptime
99.0% over 19 days
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of tool overlap or misselection. Its purpose is clearly stated as scoring a website for AI search readiness.

Naming Consistency5/5

The single tool name uses descriptive snake_case and follows a clear verb_noun-style pattern. With only one tool, there is no inconsistency to evaluate.

Tool Count3/5

A single tool is quite thin for a server surface, even if the tool itself is substantial. It is borderline appropriate because the purpose appears narrowly scoped to one scoring operation.

Completeness4/5

The tool covers core AI search readiness checks including robots.txt, llms.txt, schema, sitemap, canonical, Open Graph, meta description, and issue reporting. Minor gaps remain around remediation guidance, batch scanning, or historical results.

Available Tools

1 tool
check_ai_search_readinessCitewren: AI search readiness checkA
Read-onlyIdempotent
Inspect

Score a website 0-100 for AI search readiness: AI crawler access in robots.txt, llms.txt, schema.org JSON-LD, sitemap, canonical, Open Graph and meta description, with the issues found.

NameRequiredDescriptionDefault
keyNoOptional Citewren key: adds every fix and a 15-page crawl
urlYesWebsite domain or URL, e.g. example.com

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds the substantive behavior: it returns a 0-100 score plus the issues found, which is the only return-value disclosure since there is no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with the score and scale front-loaded, followed by a compact criteria list and the return contents. No filler; every clause carries information.

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?

Covers the return value (score plus issues) in the absence of an output schema, and annotations cover the safety profile. The only minor gap is that the optional key parameter's role in unlocking fixes and a deeper crawl is left entirely to the schema.

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%, so both parameters (url and optional key) are already documented in the schema, including the key's 15-page crawl behavior. The description adds no format or syntax detail beyond the schema, 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 (score), resource (website), and the exact scale (0-100) plus the enumerated criteria checked (robots.txt AI crawler access, llms.txt, JSON-LD, sitemap, canonical, Open Graph, meta description). An agent can tell exactly what it produces and what it inspects.

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 implied: pass a domain to get a readiness score. There are no siblings to disambiguate against and no explicit when-to-use/when-not or prerequisites (e.g., whether a live crawl is needed or the site must be public).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedcheck_ai_search_readiness

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