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minia2a-mcp

x402-gas-trend

Gas Trend Analysis: Multi-block gas fee trend and timing suggestion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
chainNoChain to process
blocksNoBlocks to process
networkNoNetwork to process

TDQS

C2.8/5.0
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 does convey that the tool analyzes multiple blocks and outputs a timing suggestion, but it never states whether it reads live chain data, which parameters are needed or defaulted, what the response looks like, or any rate-limit or safety traits.

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

Conciseness5/5

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

A single nine-word sentence with zero filler; the substance ('Multi-block gas fee trend and timing suggestion') is front-loaded after the label. It is maximally concise, though the brevity comes at the cost of the missing guidance captured in other dimensions.

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 four-parameter tool with vacuous schema descriptions, no output schema, no annotations, and a crowded group of gas-related siblings, the description is insufficient. An agent cannot determine correct parameter values, expected return shape, or how this tool differs from gas-time, gas-tracker, or fee-history well enough to invoke it confidently.

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

Parameters2/5

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

The schema coverage is nominally 100%, but every parameter description is tautological ('N to process', 'Chain to process', 'Blocks to process', 'Network to process') and adds no meaning beyond the parameter name. The tool description doesn't compensate: it never explains what N represents, what values chain/network accept, or what 'blocks' means.

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 states the resource (multi-block gas fee trend) and the deliverable (timing suggestion), which is specific enough to distinguish it from the many single-point gas tools among siblings like gas-now, gas-price, and gas-tracker. However, it reads like a title rather than a verb-led definition ('analysis' is nominalized), and it doesn't explicitly name any sibling it is not.

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 guidance is given on when to use this tool versus the roughly ten gas-related siblings (gas-price, gas-tracker, block-fee, fee-history, gas-time, etc.), no exclusions are stated, and no conditions select it over alternatives. The use case is only implied by the phrase 'multi-block... trend and timing suggestion'.

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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