x402-onchain
x402-onchain: Generic read-only JSON-RPC passthrough on Ethereum, Base, Celo, Optimism and Arbitrum. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | ||
| method | No | ||
| params | No |
x402-onchain: Generic read-only JSON-RPC passthrough on Ethereum, Base, Celo, Optimism and Arbitrum. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | ||
| method | No | ||
| params | No |
Changes observed during successful MCP inspections.
Input schema / properties / chain / descriptionRemoved value: -"Chain to process"Input schema / properties / method / descriptionRemoved value: -"Method to process"Input schema / properties / params / descriptionRemoved value: -"Params to process"Input schema / properties / methodAdded value: +{
+ "description": "Method to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral burden itself. It does disclose two useful traits that structured data does not: that the passthrough is strictly read-only and that there is a quota of 5 free trial calls per signed wallet, implying wallet auth and metering. It omits what happens after the trial, whether calls are paid, and any error or rate-limit behavior beyond the trial count.
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 short sentences with the core capability front-loaded, which is appropriate for a thin passthrough. The emoji-laden trial-call promo is marketing noise that dilutes the technical content slightly but takes little space.
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 three-parameter tool with no annotations, no output schema, and zero schema description coverage, the description leaves the agent guessing about method values, params serialization, and response shape. The generic "passthrough" framing pushes all that knowledge onto the caller without supplying 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?
All three parameters (chain, method, params) have 0% schema description coverage, so the description must compensate. It only partially does so: it names the five valid chains, which is real value given chain has no enum, but it gives no accepted chain identifier format and says nothing about method syntax or how params must be encoded.
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 mechanism (a generic read-only JSON-RPC passthrough) and enumerates the five supported chains, so an agent knows exactly what operation it is calling. It stops short of differentiating from near-identical siblings such as x402-rpc or x402-onchain-reads-v1, leaving genuine ambiguity about which one to pick.
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?
"Read-only" implicitly rules out write methods, which gives some usage boundary. However, there is no explicit when-to-use guidance, no example method values, and no comparison against the many on-chain siblings (x402-rpc, x402-onchain-reads-v1, x402-chain-info), so the agent must infer selection.
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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