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monet-gen

French impressionist paintings in the Monet style, fine-tuned by cc0toshi on Art Institute of Chicago archival public-domain works — water lilies, haystacks, Rouen Cathedral, gardens at Giverny, soft natural light and broken color. CC0 / public domain output. [PAID: $0.069 USDC per call via x402; async — returns a job_id to poll]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesInput prompt for this service.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses payment ($0.069 USDC per call), async execution (returns job_id), and output licensing (CC0/public domain). Missing info on rate limits or failure handling.

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?

Description is two sentences, front-loaded with purpose and style, followed by payment and async details. No wasted words.

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?

Covers purpose, payment, async behavior, and output licensing. Lacks details on polling the job_id or response format, but given simple tool with 1 param, it is fairly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has a single 'prompt' parameter with minimal description. The tool description adds semantic value by specifying the type of prompts (e.g., water lilies, haystacks, soft natural light), compensating for the schema's lack of detail.

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 the tool generates Monet-style French impressionist paintings, listing specific subjects and style elements. It distinguishes from sibling tools like van-gogh-gen by specifying 'Monet style' and 'CC0/public domain output.'

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?

The description implies usage for generating Monet-style images and mentions payment and async behavior, but does not explicitly state when to use this tool vs alternatives or provide exclusions.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: data query (cc0pedia*), market data, daily brief, art generation by specific artists, mfergpt interactions, and random card generation. No two tools overlap in functionality.

Naming Consistency4/5

Names are consistently lowercase with hyphens, and within each subgroup (e.g., `-gen` for generation, `cc0pedia-` for data tools), patterns are clear. However, there is no single verb_noun pattern across all tools, with some being proper names (cc0-daily-brief) or suffixed with `-ask`, `-lore`, etc.

Tool Count5/5

14 tools is well-scoped for the server's purpose, covering CC0 data retrieval, art generation, and a chatbot. Each tool adds distinct value without overwhelming the set.

Completeness4/5

The server covers core operations: CC0 data lookup, search, verify, market, daily brief; four distinct art generation styles; mfergpt Q&A, lore, and image transformation; plus random card generation. A minor gap is the lack of a tool to list available art styles or a general-purpose CC0 art explorer, but essential workflows are present.