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minia2a-mcp

x402-onchain

x402-onchain: Generic read-only JSON-RPC passthrough

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain to process
paramsNoParams to process

TDQS

B3.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden, and it does add one meaningful behavioral trait: the operation is 'read-only', which is the primary safety-relevant fact about a passthrough tool. However, it omits which chains are supported, which JSON-RPC methods are allowed or rejected, whether write attempts are blocked, and any error or rate-limit behavior. One sentence is thin for a generic passthrough with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The substantive content is a single dense sentence with the key qualifiers ('read-only', 'JSON-RPC', 'passthrough') front-loaded and no filler. Minor deduction for the 'x402-onchain:' prefix that merely echoes the tool name before the actual description begins, and for terseness that borders on under-specification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and no annotations, the one-sentence description is not enough for an agent to call it correctly. Critical gaps include accepted chain identifiers, the expected structure of 'params' (envelope vs. method vs. arguments), the supported read-only method whitelist, and how this differs from x402-rpc and x402-onchain-reads-v1. The low two-parameter complexity earns some credit, but the two parameters are exactly where the ambiguity lives.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline 3 applies; the description itself adds nothing about parameters. The schema's own descriptions are shallow ('Chain to process', 'Params to process') and leave key questions open, such as whether 'chain' is a chain ID or name and whether 'params' is a JSON-RPC envelope, a method name, or an argument array — but per the rubric the schema carries the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific verb ('passthrough'), resource ('JSON-RPC'), and constraint ('read-only'), so an agent can tell it forwards RPC calls without mutating state. It does not, however, differentiate this tool from overlapping siblings like x402-rpc or x402-onchain-reads-v1, which appear to serve nearly the same purpose. The tension between 'generic passthrough' and 'read-only' (a raw passthrough would allow any method) is also left unresolved.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage conditions, exclusions, or alternative tools are mentioned anywhere in the description. With roughly a thousand siblings including x402-rpc, x402-trace-call, and x402-sol-onchain, an agent has no basis for choosing this tool over a near-identically scoped one.

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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TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

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