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number7even website check

How ready is a website for AI assistants

check_agent_readiness

Free test of whether AI assistants can find a website, understand the business (structured data, contact, hours, services) and book or act on it. Returns a score out of 100 and the most important fixes. Public data only, nothing stored.

Input Schema

NameRequiredDescriptionDefault
urlYesThe website address, e.g. example.com
langNoLanguage of the findings (default en)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It usefully discloses that only public data is used and nothing is stored, and that the response is a 0-100 score plus prioritized fixes. It does not say whether the call blocks until analysis completes, how long it takes, or whether there are rate limits, which matters because the sibling names imply an async start/status pattern.

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 tight sentences with the core capability and the return format front-loaded, followed by a short data-handling note. No filler, though the opening clause is slightly convoluted relative to a plain "tests X for Y" phrasing.

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?

There is no output schema, and the description does cover the return shape and privacy posture, which is helpful. For a tool with two async-sounding siblings, however, the absence of any statement about synchronous execution versus polling leaves an agent guessing at the calling pattern.

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 both url and lang documented including an example and the enum values. The description adds no parameter meaning 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: test whether AI assistants can find, understand, and act on a website, and it names the output (a score out of 100 plus top fixes). An agent can grasp the function without opening the schema. It does not, however, distinguish itself from the sibling start_website_check, which sounds like it could be the same action.

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 only usage cue is the word "Free", implying no cost or prerequisites. There is no statement of when to call this instead of start_website_check or get_check_status, and no indication of whether the result is immediate or must be polled. Given two similarly named siblings, the missing routing guidance is a real gap.

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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