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GigSoul x402

generate-cold-email

Write a cold email for a product or audience. Returns subject line, preview text, and a 100-150 word body. 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 question or input for this tool. Example: pitching x402 pay-per-call APIs to agent developers
contextNoOptional supporting text or content to analyze

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
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 exact cost, the blockchain/network, and the error behavior when payment is missing. This is significant behavioral context beyond the schema. It does not describe rate limits or response format details, but the core payment behavior is well covered.

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?

Three sentences with no waste. The core purpose and output are front-loaded, followed by the payment constraint and error behavior. Every sentence earns its place.

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 simple two-parameter generation tool with no output schema, the description covers the essential information: what it produces, the payment requirement, and the error path. It could mention the response format or whether the body is plain text vs HTML, but the description is largely complete for an agent to invoke it 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 schema already documents both parameters. The description adds context by showing an example query ('pitching x402 pay-per-call APIs to agent developers') and clarifying that context is optional supporting text. This is helpful but not extensive; the baseline of 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 states a specific verb ('Write'), a specific resource ('a cold email'), and the key output components ('subject line, preview text, and a 100-150 word body'). It clearly distinguishes from sibling tools like generate-follow-up-sequence or generate-linkedin-post, which target different content types.

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 implies when to use this tool: when a cold email is needed for a product or audience. It does not explicitly name alternatives or exclusions, but the sibling list makes the differentiation clear. The payment requirement is a critical usage condition that is disclosed.

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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