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GigSoul x402

thread-from-article

Turn one article into an X/Twitter thread of 5-10 posts. Use when X is the only target. For LinkedIn, email, and blog versions at once, use repurpose-long-form. URLs are not fetched; paste the text. 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 article text (or its title if the text is in context). Example: Paste the article text here.
contextNoOptional: the article text, or a desired angle.

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: the article text, or a desired angle."
    • changedInput schema / properties / query / description
      Previous value: -"The question or input for this tool. Example: https://gigsoul.com/articles/x402-protocol-programmable-ai-agent-payments"New value: +"The article text (or its title if the text is in context). Example: Paste the article text here."
  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 provided, the description fully carries the behavioral disclosure burden. It reveals the pay-per-call cost ($0.05 USDC on Base via x402), the required payment-signature header, the error behavior when that header is missing, and the constraint that URLs are not fetched. These are non-obvious traits an agent must know before calling.

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?

Four sentences, each earning its place: core action, routing guidance, input form, and payment/error behavior. The purpose 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?

Without an output schema or annotations, the description covers what an agent needs: target platform, output length, input requirements, payment, and error response. It doesn't explicitly state the return payload format, but for a content-generation tool this is a minor gap.

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 baseline is 3. The description adds a useful clarification about pasting text rather than URLs, which maps to the 'query' parameter, but it doesn't deeply extend the parameter semantics already present in the schema.

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 specific verb and resource: 'Turn one article into an X/Twitter thread of 5-10 posts.' It also distinguishes itself from the sibling repurpose-long-form by naming the alternative and the condition ('X is the only target'), so an agent can select it correctly without inspecting either schema.

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 explicitly says when to use the tool ('Use when X is the only target') and names the alternative for multi-format needs ('For LinkedIn, email, and blog versions at once, use repurpose-long-form'). It also gives a practical input instruction: 'URLs are not fetched; paste the text.'

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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