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darkfarms-gen

Generate crypto Pepe meme art in the style of Darkfarms1 (CC0). Fine-tuned by cc0toshi on a public-domain corpus. Output is public domain (CC0). Caption guide at https://cc0.company/skill/darkfarms-gen.md. Skill + prompt templates on GitHub: https://github.com/cryptomfer/cc0company/blob/main/agent-services/darkfarms-gen.md. [PAID: $0.069 USDC per call via x402; async — returns a job_id to poll]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesComma-strung phrases. Opener: 'smol pepe <action>'. Closer: 'crypto meme art style'. See https://cc0.company/skill/darkfarms-gen.md for canonical templates. Max 1000 chars.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / additionalProperties
      Previous value: -trueNew value: +false
    • changedInput schema / properties / prompt / description
      Previous value: -"Input prompt for this service."New value: +"Comma-strung phrases. Opener: 'smol pepe <action>'. Closer: 'crypto meme art style'. See https://cc0.company/skill/darkfarms-gen.md for canonical templates. Max 1000 chars."
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses cost ($0.069 USDC per call via x402) and async behavior (returns a job_id to poll). It omits auth/wallet prerequisites and rate limits, but the payment and async traits are exactly the non-obvious facts an agent needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded, followed by licensing, resource links, and the payment/async note in brackets. Efficient, though three embedded URLs add some length that could be condensed.

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 single-param tool with no output schema, the description supplies the missing pieces: it explains the output is CC0 public domain and that the async call returns a job_id to poll, compensating for the absent return-value schema.

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 the schema already documents the single 'prompt' parameter, and the description itself adds no per-parameter detail beyond reinforcing the caption/template guidance. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb+resource ('Generate crypto Pepe meme art in the style of Darkfarms1') with a named, distinctive style that separates it from the sibling hokusai-gen, monet-gen, sartoshi-gen and van-gogh-gen style generators. An agent can pick this tool by style alone.

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

Usage Guidelines3/5

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

It points to a caption guide and prompt templates, implying usage context, but never states when to choose this over the other style generators or any exclusions. Usage is implied rather than spelled out.

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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