list_productsList Fetchgate's digital-goods catalog: id, name, description, priceUsd, currency, file format, size, sha256, and a walletless humanUrl checkout link for each product for sale. Wraps GET /v1/products. Free, no rate limit, no payment required just to browse.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries the full burden. It discloses that it is free, has no rate limit, and requires no payment to browse, indicating a safe read-only operation. It also reveals the underlying GET endpoint. It does not mention pagination or error handling, but for a simple list it is adequate.
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 a single well-formed sentence that packs in the purpose, the data fields, the endpoint, and the cost/rate constraints. No redundancy.
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 the simplicity of the tool (no parameters, no output schema, no annotations), the description covers the essential information: the action, the returned fields, and the cost. It is complete for an agent to invoke the tool and expect a list of product objects.
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?
There are no parameters, so meaning is not needed beyond the schema. The description doesn't need to explain anything about parameters. Baseline 4 applies.
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 action (List) and the resource (Fetchgate's digital-goods catalog), enumerates the expected fields, and distinguishes from sibling tools (get_metadata, get_purchase_info, read_url) which serve different purposes. The verb is specific, and the scope is unambiguous.
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 context that this is for browsing the catalog with no payment required, but does not explicitly compare with sibling tools or state when not to use it. The intent is clear, but differentiation is implied rather than stated.
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.
read_url and get_metadata both fetch a URL server-side, so an agent could initially hesitate between them, though they cleanly differ in output: Markdown content vs structured metadata. The two product-related tools list_products and get_purchase_info have distinct roles as catalog browsing vs single-item purchase details.
All tool names follow a consistent verb_noun snake_case pattern (read_url, get_metadata, list_products, get_purchase_info). The verb choices are standard and predictable, and there are no mixed casing styles or vague names.
Four tools is a well-scoped surface for a URL-reading/metadata service with a small digital-product lookup side. Each tool earns it place, and none feel redundant or missing as a basic unit.
URL content and metadata handling is fully covered, and the product side is covered for listing and purchase lookup. The only notable gap is that the purchase flow is informational only: no tool executes the actual x402 payment, so a transactional workflow cannot be completed solely through this server.