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GigSoul x402

generate-webinar-invite

Write webinar invitation copy: two invite emails and a landing-page blurb. Use when promoting a scheduled webinar or live event. 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 webinar topic, date, and audience. Example: Pricing teardown webinar, Oct 8 1pm ET, for SaaS founders
contextNoOptional: speakers, agenda, and registration link.

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: speakers, agenda, and registration link."
    • changedInput schema / properties / query / description
      Previous value: -"The question or input for this tool. Example: webinar: monetizing AI agents with x402 micropayments"New value: +"The webinar topic, date, and audience. Example: Pricing teardown webinar, Oct 8 1pm ET, for SaaS founders"
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the full behavioral burden. It discloses the payment requirement ($0.05 USDC on Base via x402) and the error behavior when payment is missing, including that the error data carries payment terms. It also implies the output format (two emails and a blurb). It does not mention rate limits or additional side effects, but for a content generation tool with payment gating, this is substantive disclosure.

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 sentences with zero wasted words. The purpose is front-loaded in the first sentence, the usage condition in the second, and the payment/error behavior in the third. Every sentence earns its place, and the structure is clear and scannable.

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 tool with 2 parameters, no output schema, and no annotations, the description covers the essential information: what it does, when to use it, and the critical payment requirement. It does not detail the exact structure of the returned copy, but it names the deliverables which is sufficient. Given the moderate complexity, this is complete enough for an agent to call 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%, meaning both parameters (query and context) are described in the schema. The tool description does not add any extra semantics beyond what the schema already provides. According to the rubric, a high coverage baseline of 3 is appropriate, and the description does not compensate with additional parameter details, so 3 is correct.

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 clearly states a specific verb ('Write') and a specific resource ('webinar invitation copy') with explicit deliverables ('two invite emails and a landing-page blurb'). It also distinguishes itself from siblings by naming the exact use case ('promoting a scheduled webinar or live event'), which is unique among the generation tools listed. No ambiguity about what this tool does.

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

Usage Guidelines4/5

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

The description provides a clear condition for use ('Use when promoting a scheduled webinar or live event'). While it does not explicitly name alternative tools or say when NOT to use it, the sibling list makes it obvious that other tools exist for different content types (e.g., generate-cold-email, generate-linkedin-post), and the stated condition is enough for an agent to route correctly. A named alternative would push it to 5.

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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