Create Quote
Create a Lightning invoice to fund ecash minting (NUT-04).
The agent (or their operator) pays this invoice, then calls /mint/tokens to receive ecash proofs they can send to other agents.
200: Successful Response (Success Response) Content-Type: application/json
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes | ||
| mint_url | No | ||
| amount_sats | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It explains the payment-then-mint flow and mentions a 200 response, but it does not disclose important behavioral details such as quote expiry, required authentication, or the actual response fields beyond generic 'Success Response'.
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?
The description is concise and front-loaded with the core purpose. The 'Responses' section adds little value since it just says 'Successful Response', but the overall structure is efficient and easy to scan.
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?
The tool involves a multi-step payment workflow and has three parameters, yet the description omits parameter semantics, expected output fields, and error cases. Since there is no output schema, the missing return-value information further harms completeness.
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 0%, and the description provides no explanation of the three parameters (agent_id, amount_sats, mint_url). It fails to compensate for the lack of schema-level descriptions, leaving parameter semantics completely unexplained.
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 uses a specific verb+resource: 'Create a Lightning invoice to fund ecash minting (NUT-04).' It clearly names the operation and distinguishes from the sibling 'create_melt_quote' by specifying ecash minting.
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?
It provides clear workflow context: the agent pays the invoice, then calls /mint/tokens to receive ecash proofs. However, it does not explicitly state when not to use this tool or name alternatives directly.
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.
Most tools have clearly distinct purposes, with descriptions that differentiate related operations like discovery vs. scanning or mint vs. melt quotes. A few pairs (e.g., list_agents vs. a2a_public_discovery, get_agent vs. discover_single_agent) could cause confusion, but the endpoint paths and descriptions mitigate this.
All tool names follow a consistent pattern: a descriptive operation prefix followed by the full API path and HTTP method (e.g., list_agents_api_agents_get, create_melt_quote_api_payments_ecash_melt_quote_post). No mixed casing or inconsistent verb styles.
With 36 tools, the server is overloaded. Even though it covers multiple domains (directory, trust, discovery, payments), the count exceeds the 25+ threshold and likely should be split into focused sub-servers. The tool set feels sprawling rather than well-scoped.
The core workflows for agent registration, search, trust, A2A discovery, scanning, and ecash payments are well-covered. Minor gaps exist, such as no update or delete agent operations and no way to modify agent details post-registration, but these are not critical dead-ends for the platform's purpose.