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agent_ready_audit

Audits how ~17 AI crawlers and agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, ChatGPT-User, ...) can reach and read a site: robots rules per bot, live user-agent probes, llms.txt, sitemap, JSON-LD, canonical host, agent interfaces. Does not guarantee crawling, ranking, citation, or traffic. Not charged if the site blocks us or is unreachable (422, charged:false). Price $0.0499 via x402.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it lists specific checks (robots rules per bot, live user-agent probes, llms.txt, sitemap, JSON-LD, canonical host, agent interfaces), clarifies limitations ('Does not guarantee crawling, ranking, citation, or traffic'), and explains charging behavior ($0.0499, no charge on 422). It doesn't describe the return format, which prevents a higher score.

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 front-loaded with the core purpose and packs useful details into a few sentences. It is dense but every clause adds value; minor improvement could come from clearer separation of checks vs. limitations vs. pricing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (multi-check audit) and lack of output schema or annotations, the description covers what is checked and what is not guaranteed, but omits how to invoke it (required inputs) and what the response looks like. That leaves an agent without enough to call it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, so baseline is 4. The schema is fully permissive with no documented fields, and the description adds no guidance on what to send (e.g., a URL), but the absence of parameters means the description isn't expected to explain them.

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 states a specific verb ('Audits') and resource ('how AI crawlers and agents can reach and read a site') with a detailed list of checked aspects (robots rules, probes, llms.txt, etc.). It clearly distinguishes from generic SEO tools, though it doesn't explicitly contrast with sibling tools like agent_ready_kit or agent_ready_recheck.

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?

The description implies the tool is for auditing AI crawler accessibility but never states when to use it versus alternatives. It mentions pricing and a no-charge condition for blocked/unreachable sites, but provides no guidance on when to choose this over agent_ready_kit or agent_ready_recheck.

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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