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GigSoul x402

research-competitor-pricing

Research competitor pricing for a product category. Returns competitor names, pricing tiers, and a value comparison. Pay-per-call: $0.06 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoThe question or input for this tool. Example: AI writing assistants
contextNoOptional supporting text or content to analyze

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?

With no annotations present, the description carries the behavioral disclosure burden and does so well by revealing the pay-per-call cost, the required payment-signature header, and the error behavior when payment is missing. It does not cover every possible trait such as data freshness or rate limits, but for this tool the key operational behaviors are disclosed.

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 three tight sentences: what the tool does, what it returns, and the payment requirement. Each sentence earns its place, and the core purpose is front-loaded before the operational detail.

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 low-complexity, two-parameter tool with no output schema, the description covers the core action, the return content, and the essential payment mechanics. The main gap is the lack of differentiation from the similarly named sibling 'analyze-competitors', but the description still gives an agent enough to call the tool correctly.

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%, so the input schema already documents both parameters. The description adds only mild semantic color by framing the query as a 'product category', but it does not materially enrich the meaning of the parameters beyond the schema.

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 names a specific action ('Research'), a specific resource ('competitor pricing for a product category'), and lists concrete return contents: competitor names, pricing tiers, and a value comparison. It is clear on its own, but it does not explicitly distinguish this tool from the sibling 'analyze-competitors', 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 Guidelines3/5

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

The intended use is implied: call this when you need competitor pricing information for a category. However, the description gives no explicit guidance about when to choose this over 'analyze-competitors' or any other sibling, and it does not state exclusions or alternatives.

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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