Get purchase details and x402 payment URL for a marketplace item. Returns the full URL to use with awal x402 pay — does not execute the purchase directly.
| Name | Required | Description | Default |
|---|---|---|---|
| itemId | Yes | UUID of the marketplace item to purchase |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It clearly discloses the key behavioral trait: the tool only returns a URL and does not execute the purchase. It also states it 'returns purchase details', giving a clear picture of the output. It does not mention any side effects or authorization requirements, but for a simple read-like operation this is sufficient.
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 two concise sentences: the first states the core function, the second explains the limitation and the intended use of the returned URL. Every word earns its place, with no fluff or repetition of schema details.
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?
For a tool with one parameter, no output schema, and no annotations, this description is complete. It explains what the tool returns (purchase details and x402 payment URL) and explicitly notes what it does not do. This gives the agent all necessary context to decide whether to invoke it.
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?
The input schema already provides 100% coverage for the single parameter itemId, describing it as 'UUID of the marketplace item to purchase'. The description adds no additional meaning beyond echoing 'marketplace item', so it meets the baseline of 3 for high schema coverage without adding new semantics.
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 tool's function: 'Get purchase details and x402 payment URL for a marketplace item.' It uses a specific verb/resource/scope and distinguishes itself from siblings like agentlux_resale_purchase or agentlux_get_item by focusing on the payment URL. The clarification 'does not execute the purchase directly' further sharpens its purpose.
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 implies when to use the tool: when you need a payment URL for a marketplace item, to be used with 'awal x402 pay'. It also provides an exclusion: 'does not execute the purchase directly', indicating that for actual purchase execution you'd use another tool. However, it does not explicitly name an alternative tool, so it falls slightly short of a 5.
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.
Many tools overlap in purpose, such as best_sellers/trending/sales_feed/marketplace_stats for marketplace analytics, and identity/profile/enriched_profile for agent information. Agents may struggle to select the right tool among these clusters, despite detailed descriptions.
Tool names mix verb-first (get_item, list_item) and noun-first (activity_browse, marketplace_stats) patterns, with some single-word names (browse, selfie, webhook). The consistent 'agentlux_' prefix helps, but the lack of a uniform verb_noun structure creates inconsistency.
With 79 tools, the server is far beyond the typical well-scoped range. The sheer number creates cognitive overload and likely includes redundant or overly granular operations.
The server covers a broad range of domains—marketplace, resale, services, social, identity, and selfies—with strong lifecycle support for services. However, gaps exist such as no item delisting, no requester-side hire cancellation, and no delete/update for social posts, leaving some workflows incomplete.
