demo_paid_sample
Cheapest end-to-end x402 purchase test. Always returns a 402 challenge without payment and the current full NegPrice decision after a valid USDC payment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Cheapest end-to-end x402 purchase test. Always returns a 402 challenge without payment and the current full NegPrice decision after a valid USDC payment.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior. It clearly states that no payment results in a 402 challenge and that a valid USDC payment yields the full NegPrice decision, which are key behavioral traits. However, it does not elaborate on side effects, error conditions, or the exact format of the decision, preventing a perfect score.
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, front-loaded with the tool's purpose and followed by specific behavioral details. Every word earns its place, with no redundancy or extraneous information.
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 lack of annotations and output schema, the description partially compensates by explaining the payment-based behavior. However, it does not describe the structure of the 'NegPrice decision' or provide guidance on how to handle the 402 challenge, leaving some gaps for an agent seeking full context.
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 has zero parameters, so the baseline for parameter semantics is 4. The description correctly does not discuss parameters since there are none. This is appropriate for a parameterless tool.
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 as a 'Cheapest end-to-end x402 purchase test' and specifies its exact behavior: always returning a 402 challenge without payment and a NegPrice decision after valid payment. This makes the tool's function unambiguous and distinct from siblings that handle actual purchases or data retrieval.
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 usage as a cheap test for the x402 purchase flow but provides no explicit guidance on when to use it versus alternatives or when not to use it. No exclusions or alternative tools are mentioned, leaving the agent to infer the intended use case.
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.
Multiple tools overlap significantly: buy_dispatch_plan, flexibility_window, optimizer_cheapest_window, and energy_decision all help schedule or choose an energy window, while price_forecast, price_spot, and buy_market_brief provide pricing context. The paired GET-fallback tools (articles_id vs articles_id_post, demand_submit vs demand_submit_post, etc.) create further ambiguity.
Naming is inconsistent: some tools use a verb prefix (buy_, predict_, subscribe_), others start with a noun (price_, grid_, carbon_), and some have non-verb suffixes (_post, _quick). Related tools vary in style, e.g., price_forecast vs predict_negative_price and demand_submit vs demand_submit_post.
With 31 tools, the server feels heavy. While many are distinct paid endpoints, the high number—including near-duplicate variants—exceeds the 25-tool threshold for comfort and suggests an over-sized surface.
The energy domain is well covered: real-time and historical prices, forecasts, negative-price prediction, dispatch/flexibility optimization, CO2, renewables, load, subscriptions, and research. Minor gaps exist (e.g., historical CO2, user account handling), but core agent workflows are supported.