mfergpt-ask
Ask mferGPT anything and get a response in the mfer voice. Re-brokered over x402. [PAID: $0.055 USDC per call via x402]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes | Input prompt for this service. |
Ask mferGPT anything and get a response in the mfer voice. Re-brokered over x402. [PAID: $0.055 USDC per call via x402]
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes | Input prompt for this service. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses the payment model ($0.055 USDC via x402) and the re-brokering aspect, but does not explain x402 protocol details, rate limits, or whether the tool is idempotent.
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?
Two concise sentences, front-loaded with the core action and unique selling point, with zero wasted words. Every sentence adds value.
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?
Given only one parameter and no output schema, the description covers the essential purpose, voice, and cost. It lacks response format details but is adequate for a simple ask-and-respond tool.
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?
Schema description coverage is 100% for the single parameter 'prompt', so the baseline is 3. The description does not add extra meaning beyond 'Input prompt for this service', lacking guidance on prompt format or constraints.
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?
The description clearly states the verb 'Ask' and the resource 'mferGPT', and specifies the unique response style 'in the mfer voice', distinguishing it from siblings like 'mfergpt-lore' and 'mfergpt-mferfy'.
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?
The description says 'Ask anything', implying broad usage, but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives among sibling tools.
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.