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Destructive

Run browser QA across three viewports (phone portrait, phone landscape, desktop), including bounded performance evidence and plain-English diagnosis with safe structural locator hints. Costs $0.08 USDC via x402. Requires an x402-aware client to authorise payment; standard AI assistants cannot automatically sign x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already signal readOnlyHint=false and destructiveHint=true, and the description adds valuable context beyond them: the exact cost, the payment mechanism, and the client requirement. It also describes output characteristics ('bounded performance evidence', 'plain-English diagnosis', 'safe structural locator hints'). No contradiction with annotations is present.

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?

Three sentences, each earning its place: the first packs the core function and outputs, the second states cost, the third states the auth prerequisite. The most important information is front-loaded, and there is no filler.

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?

For a tool with no output schema, the description does a good job of explaining what the agent will receive: performance evidence, diagnosis, and locator hints. It also covers cost and payment prerequisites. It could be more complete by explaining what happens if the x402 payment is not authorized, but overall it is sufficiently complete for the tool's complexity.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not mention the url parameter at all. The schema itself defines url with format and maxLength, but the description adds no semantic guidance about what URLs are acceptable or how they are used. With low coverage, the description should compensate, and it does not.

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 clearly states a specific action ('Run browser QA') and resource ('page') across three named viewports, with concrete outputs like performance evidence and diagnosis. It does not explicitly differentiate from sibling tools such as verify_page or compare_page, so it stops short of a 5.

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 provides clear context on prerequisites: it costs $0.08 USDC via x402 and requires an x402-aware client, explicitly noting that standard AI assistants cannot automatically sign x402. This gives an agent important selection criteria, though it does not name alternatives or state when not to use the tool.

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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