list_products
Paid data packs for agents (model picker, eval suites, false friends, per-language packs) with prices and Vermarco buy links, plus the x402 pay-per-call API.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Paid data packs for agents (model picker, eval suites, false friends, per-language packs) with prices and Vermarco buy links, plus the x402 pay-per-call API.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers safety. The description adds that results include paid packs, prices, Vermarco buy links, and x402 API, but it does not describe ordering, pagination, or response shape, so it adds useful but limited context beyond annotations.
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?
Single front-loaded sentence with no filler; the parenthetical enumerates pack types efficiently. It could be slightly sharper with an explicit list verb.
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 zero-param read-only list with no output schema, the description conveys the category, included data (prices, buy links, API), and product types. It leaves whether all products are returned and how siblings differ implicit.
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?
Zero parameters, so no parameter semantics are required; baseline 4 applies. The description cannot and need not add parameter detail.
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?
Names the resource as paid data packs for agents and enumerates the included product categories, prices, buy links, and x402 API, so the agent can tell what product catalog this exposes. It lacks an explicit verb and does not contrast with get_top_pick or list_languages, so it is clear but not sibling-differentiated.
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?
Provides no when-to-use guidance, prerequisites, or alternatives. The agent must infer that this returns the full catalog from the product enumeration; siblings get_top_pick and list_languages are not mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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