x402_health_check
$0.15 per successful call, prepaid. DNS-pinned public HTTPS probe of an x402 endpoint's 402 quote, price, network and recipient; no payment sent.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes |
$0.15 per successful call, prepaid. DNS-pinned public HTTPS probe of an x402 endpoint's 402 quote, price, network and recipient; no payment sent.
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false), the description adds real behavioral context: the call is prepaid at a fixed price, it is DNS-pinned, and critically it does NOT send a payment. That last point materially clarifies what side effects occur and is not derivable from the annotation set.
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?
Two dense sentences with no wasted words, and the paid-call cost is front-loaded, which is the most decision-relevant fact for an agent evaluating a paid tool. Slightly telegraphic, but every phrase carries 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?
With no output schema, the description compensates by naming the returned fields (402 quote, price, network, recipient), and the annotations cover the open-world/side-effect profile. The main gap is that parameter semantics are unaddressed, but the return and cost picture is otherwise complete.
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%, so the description carries the full burden, yet it never mentions the 'url' parameter, its length bounds, or the GET/POST 'method' enum. It only indirectly implies a target endpoint exists, leaving both parameters effectively undocumented.
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 names a specific verb and resource ('DNS-pinned public HTTPS probe of an x402 endpoint's 402 quote') and enumerates what it extracts (price, network, recipient), so an agent knows exactly what the tool does. It does not explicitly differentiate itself from siblings like tx_preflight or collectible_quote, but the probe-of-a-quote framing is distinct enough.
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?
Usage is only implied: the '$0.15 per successful call' and 'no payment sent' framing suggests a cheap pre-flight check, but there is no explicit when-to-use statement or named alternative among the sibling tools. An agent can infer intent but gets no routing guidance.
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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