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about_marketplace

What is Vertical Marketplace? Returns a canonical, self-describing overview: what the platform is, how buying and selling work, the 95/5 economics (listing is free), the operator, the domain relationship (vermarco.com is the live engine; sellmydata.ai and buymydata.ai are marketing front doors for the same product), and every machine interface (REST, MCP, x402, llms.txt). Includes the platform's IP posture: Patent Pending — see https://vermarco.com/patent-notice. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it does disclose the key behavioral fact that no API key is required plus the full informational scope of the response. It does not mention rate limiting or response format, but for a zero-parameter static-info tool this is substantially transparent.

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?

Front-loaded with a question-and-answer framing and then a dense enumeration; every listed item is substantive. The single long sentence is slightly overloaded but not padded.

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

Completeness5/5

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

There is no output schema, so the description must describe return content, and it itemizes exactly what the overview contains (economics, operator, domains, interfaces, IP posture). An agent knows precisely what calling this yields.

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 takes zero parameters, which sets the baseline at 4. The description correctly presents this as a parameterless call and adds no misleading input details.

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?

Opens with a specific verb and resource ('Returns a canonical, self-describing overview') and enumerates the exact content scope: platform identity, buy/sell flow, 95/5 economics, operator, domain mapping, and machine interfaces. This clearly distinguishes it from stats-oriented siblings like get_platform_stats and marketplace_stats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied (orientation/onboarding before browsing or transacting) but never stated. It offers one useful precondition, 'No API key required,' yet gives no explicit guidance on when to call this versus browse_marketplace or get_platform_stats.

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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