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GigSoul x402

analyze-competitors

Map a market's competitors: names, strengths, weaknesses, and how each is positioned. Use for landscape and positioning questions ('who else does X and how do they differ'). Pricing is not covered; for plan tiers and price comparison use research-competitor-pricing. Based on model training knowledge, not a live lookup; figures are estimates. Recent entrants may be missing. Pay-per-call: $0.05 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 product, category, or market (e.g. 'AI meeting note-takers for sales teams'). Example: AI meeting note-takers for sales teams
contextNoOptional: your own product description, so gaps are framed against it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / context / description
      Previous value: -"Optional supporting text or content to analyze"New value: +"Optional: your own product description, so gaps are framed against it."
    • changedInput schema / properties / query / description
      Previous value: -"The question or input for this tool. Example: AI agent marketplaces"New value: +"The product, category, or market (e.g. 'AI meeting note-takers for sales teams'). Example: AI meeting note-takers for sales teams"
  2. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so thoroughly: it states the model-training basis, estimates, missing recent entrants, pay-per-call billing, and the error behavior for missing payment headers. This is exceptionally clear about operational behavior and failure modes.

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 information-dense but every sentence serves a purpose: purpose, usage, exclusion, data caveats, and payment behavior. It is front-loaded with the core action, and no words are wasted.

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 description covers purpose, alternatives, limitations, and payment. The only notable gap is that neither schema nor description explicitly says whether the 'query' parameter is required or what happens if omitted; the parameter is marked optional only by the schema's lack of a required list. For most uses this is clear enough, but a brief note would make it fully complete.

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 coverage is 100%, so both parameters are already well described. The description adds only a small note on 'context' (optional, for framing gaps) which slightly reinforces but does not significantly extend the schema. Baseline 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 opens with a specific verb and resource: 'Map a market's competitors' and lists the output aspects (names, strengths, weaknesses, positioning). It also distinguishes itself from research-competitor-pricing by explicitly excluding pricing, so an agent can tell them apart.

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

Usage Guidelines5/5

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

It gives explicit usage context ('Use for landscape and positioning questions') and an exclusion with the sibling alternative ('Pricing is not covered; for plan tiers and price comparison use research-competitor-pricing'). It also sets expectations about data source and recency, which helps an agent decide if this tool is appropriate.

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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