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minia2a-mcp

x402-estimate-gas

Estimate Gas: Estimate Gas

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoTo to process
dataNoData to process
fromNoFrom to process
chainNoChain to process
valueNoValue to process
calldataNoCalldata to process

TDQS

D1.7/5.0
Behavior1/5

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 tells the agent nothing about side effects, required network access, which chain defaults apply, or how the estimate is computed. It does not even explicitly state that this is a read-only estimation operation.

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

Conciseness2/5

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

It is short, but brevity is not conciseness when the text contains no information. The phrase is also redundant with the tool name and provides no structured guidance, so it fails the every-sentence-earns-its-place test.

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

Completeness1/5

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

For a tool with 6 parameters, no required fields, no output schema, and no annotations, the description is dramatically insufficient. An agent cannot know what arguments to pass, how the arguments interrelate, or what kind of result to expect, especially in a space crowded with gas-related tools.

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 the baseline is 3. However, the individual parameter descriptions are generic placeholders ("To to process", "Data to process", "Chain to process") that add no meaning; the description as a whole does not clarify which parameters are required for an estimate or how fields like value, calldata, and data relate. Baseline 3 stands because the schema technically describes all six parameters, but the description adds no value.

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

Purpose2/5

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

The description "Estimate Gas: Estimate Gas" is almost a pure tautology, restating the tool name without saying what estimating gas means, which chain or EVM context it targets, or what the estimate is for. It provides no differentiation from many other gas-related siblings like gas-price, gas-now, gas-tracker, or fee-estimate.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus siblings such as gas-estimate variants, fee-estimate, or gas-price. The description does not state prerequisites (e.g., must supply recipient and calldata in a specific format) or any conditions that should trigger this tool.

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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