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minia2a-mcp

x402-chain-compare

Chain Compare: Compare live gas price and block height across multiple chains (base, ethereum, optimism, arbitrum) in one call via public RPC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds 'via public RPC' as a useful context note, but it does not disclose latency expectations, rate-limit risk, what happens if a chain's RPC is unavailable, or whether results are point-in-time snapshots. For a tool that hits live endpoints, this is a significant lack of behavioral transparency.

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 description is a single focused sentence that front-loads the core function ('Compare') and the key data fields, followed by the scope ('multiple chains') and transport ('public RPC'). It is compact with no wasted words. Minor deduction because it omits any mention of output shape, which would add value without bloat.

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

Completeness4/5

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

For a no-parameter, no-output-schema tool, the description covers the essential facts: what is compared, which chains are involved, and how the data is retrieved. It is complete enough for an agent to invoke it confidently for a multi-chain gas/height comparison. A small gap is the lack of any statement about the response format or unit of gas price, but the tool's simplicity keeps this from being a major deficiency.

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

Parameters4/5

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

The tool has zero parameters, so there is nothing for the schema to document and nothing for the description to clarify. Schema description coverage is trivially 100%. The description correctly conveys that the call takes no input and fixes the chain set. A baseline of 4 is appropriate for a zero-parameter tool.

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

Purpose5/5

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

The description uses a specific verb ('Compare'), names the exact resource ('live gas price and block height'), and enumerates the target chains (base, ethereum, optimism, arbitrum). This is a clear, self-contained statement that unambiguously defines the tool's function and can be distinguished from siblings like get_stats, gas-compare, or block-number without inspecting them.

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

Usage Guidelines3/5

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

The description states what this tool does ('compare live gas price and block height across multiple chains in one call'), which implies it is the tool to use for multi-chain comparison. However, it does not explicitly say when NOT to use it or mention alternatives like the many sibling gas tools (multi-gas, gas-compare, gas-price), so an agent is left to infer routing among a large cluster of similar-sounding tools.

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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