Hourly-refreshed digest of the top 5 CC0 NFT collections by 24h volume — per-collection metrics (volume, sales, floor, holders), cc0pedia editorial context, and an LLM-synthesized narrative + macro headline. Synchronous JSON (no polling). [PAID: $0.05 USDC per call via x402]
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses key behaviors: 'Hourly-refreshed', 'Synchronous JSON (no polling)', and crucially the cost ('PAID: $0.05 USDC per call via x402'). This goes beyond basic purpose. Could mention error handling or rate limits, but overall strong.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is compact (3-4 sentences) and front-loaded with essential info: refresh rate, content, format, cost. Every sentence adds value without redundancy. Highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool is simple (no parameters, no output schema). Description covers what it returns: 'top 5 CC0 NFT collections by 24h volume', per-collection metrics (volume, sales, floor, holders), cc0pedia editorial context, and LLM-synthesized narrative + macro headline. Missing exact JSON structure, but sufficient for understanding. Could be slightly more precise.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has zero parameters (empty object with additionalProperties: true). Description does not need to add parameter info. Baseline for 0 params is 4, and description is sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool's function: 'Hourly-refreshed digest of the top 5 CC0 NFT collections by 24h volume'. It specifies verb 'digest', resource 'top 5 CC0 NFT collections', and includes detailed content (metrics, editorial context, narrative). This distinguishes it from sibling tools like cc0pedia (search) and cc0pedia-market (market data).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description implies usage for obtaining a concise summary of top CC0 collections, but does not explicitly state when to use vs. alternatives like cc0pedia or cc0pedia-market. There is no 'when-not' guidance. The mention of 'Synchronous JSON' hints at tradeoffs but lacks direct comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.
