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AIWebSignals

Scan AI Web Readiness

scan_ai_web_readiness

Run AIWebSignals' existing bounded public readiness scanner for a public hostname or HTTP(S) URL. Private/local network targets are rejected. The target website is not modified; AIWebSignals may persist its normalized observation in scan history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesPublic hostname or HTTP(S) URL to inspect

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It clearly states the target website is not modified (non-destructive) and that AIWebSignals may persist its normalized observation in scan history, which is an important side-effect disclosure. It does not mention authentication or rate limits, but the key safety and persistence traits are covered.

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 two sentences with zero filler. The first sentence front-loads the action and target; the second covers constraints and side effects. Every clause earns its place and nothing repeats the schema.

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?

For a simple one-parameter tool with no output schema, the description should explain what the call returns. It explains what the scanner does and its side effects, but never states the form of the readiness result (score, report, boolean, etc.), leaving an agent to infer the output. This is a real gap, but otherwise the low-complexity tool is well covered, so a 3 is appropriate.

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% for the single 'domain' parameter, so the baseline is 3. The description adds the explicit 'Private/local network targets are rejected' constraint, but this essentially restates the schema's 'Public hostname or HTTP(S) URL' wording in negative form. It does not add new parameter-level semantics beyond what the schema already conveys.

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 ('Run'), names the exact tool ('AIWebSignals' existing bounded public readiness scanner'), and states the target ('public hostname or HTTP(S) URL'). It explicitly contrasts with rejected private/local targets, making the tool's scope unmistakable. Sibling tools about machine capabilities/pricing are unrelated, so there is no confusion with them.

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 gives clear use context: scanning a public hostname or URL, with an explicit 'when-not' condition ('Private/local network targets are rejected'). It does not discuss alternatives, but the sibling tools are on entirely different subjects (machine capabilities and pricing), so no alternative is needed. This is clear context with one concrete exclusion, not full alternative routing.

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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