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audit_url

Audit any website for AI/agent readiness. Get a readiness level (0-5), score percentage, and individual check results to identify specific improvements.

Instructions

Audit a website for AI/agent readiness. Returns a readiness level (0-5), score percentage, and individual check results. Level 5 = Autonomous (fully agent-ready), Level 0 = Hostile. Free plan: 5 audits/day. Pro: unlimited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe website URL to audit (e.g. https://example.com)
Install Server

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and discloses key behaviors: it returns a readiness level, score percentage, and individual check results, and defines the 0-5 scale. It also notes plan limits (5 audits/day free, unlimited Pro), adding useful operational context.

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?

The description is concise and front-loaded, with no wasted words. It states the purpose, then the return value, the scale meaning, and plan limits in four short sentences, each earning its place.

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?

The tool has a single parameter and no output schema, but the description covers the essential return value semantics (level meanings) and rate limits. It is complete enough for an agent to select and invoke the tool correctly, though it could mention error handling or prerequisites.

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?

The input schema already fully describes the only parameter (url) with 100% coverage. The description adds no additional parameter-specific meaning beyond what the schema provides, so the baseline score of 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 clearly states the tool's function with a specific verb and resource: 'Audit a website for AI/agent readiness.' It also distinguishes itself from siblings by focusing on a single website and describing its specific output, unlike bulk_audit or compare_urls.

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 does not provide explicit guidance on when to use this tool versus alternatives like bulk_audit or compare_urls. It mentions plan limits but gives no contextual cues for tool selection.

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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