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GigSoul x402

generate-marketing-strategy

Generate a comprehensive marketing strategy for a product or market. Returns target audience, positioning, channels, and timeline. Pay-per-call: $0.10 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: a pay-per-call API marketplace for AI agents
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?

No annotations are provided, so the description carries the full burden. It discloses the pay-per-call nature, the cost ($0.10 USDC on Base via x402), and the requirement for a payment-signature header, including the error behavior when absent. This is critical and well-communicated, though it does not mention any other behavioral aspects like rate limits or auth beyond payment.

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 concise: two sentences that front-load the core purpose and output, followed by the payment requirement. No fluff, and every sentence adds value. The structure is clear and efficient.

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 generative tool with no output schema, the description provides enough to call it: the purpose, the input types, and the critical payment requirement. It does not detail the output format beyond listing components, but given the absence of an output schema and the tool's complexity, it is reasonably complete. It could mention any additional constraints or rate limits, but overall it is adequate.

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%, with both 'query' and 'context' having descriptions. The tool description does not add meaning beyond the schema, but the schema already explains the parameters adequately. Baseline 3 is appropriate since the description does not introduce new parameter semantics.

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 states a clear verb 'generate', a specific resource 'comprehensive marketing strategy', and specifies what it returns (target audience, positioning, channels, timeline). It distinguishes from siblings like 'analyze-marketing-trends' and 'generate-positioning-statement' by the scope and output.

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

Usage Guidelines2/5

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

The description does not explicitly guide when to use this tool versus alternatives. It mentions 'for a product or market' but does not compare with sibling tools or state when not to use it. There is no exclusions or alternative recommendations.

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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