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minia2a-mcp

x402-fee-estimate

Fee Estimate: Fee Estimate

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure — and it discloses nothing. It doesn't say whether the call is read-only, whether it depends on current network state, whether it returns a number or an object, whether there are rate limits, or what units the estimate is denominated in. For a zero-parameter tool that presumably derives its estimate from context, this is a severe omission.

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?

The text is short but this is under-specification, not conciseness. The duplicated phrase 'Fee Estimate: Fee Estimate' adds zero informational value and is not front-loaded with any actionable content — it earns no place in the description.

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?

With no annotations, no output schema, and a tautological description, every contextual burden falls on the description and it fails entirely. An agent cannot determine what the tool returns, what inputs it consumes implicitly, when to select it, or what calling it will cost behaviorally. The definition is completely inadequate for correct invocation or selection.

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 input schema has zero parameters, which per rubric sets a baseline of 4 — there is no parameter ambiguity for the agent to resolve. However, the description adds no meaning about how the fee estimate is derived without explicit inputs; this gap is better attributed to behavioral transparency and contextual completeness.

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

Purpose1/5

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

The description 'Fee Estimate: Fee Estimate' is a pure tautology — it merely restates the tool name in both label and value positions. It never states what fee is being estimated (gas? X402 protocol fee? transaction fee?), for which network, or in which unit. An agent has no way to distinguish this from siblings like x402-estimate-gas, x402-fee-history, or x402-gas-price.

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 whatsoever about when to call this tool versus alternatives. Given the sizable sibling list containing fee/gas-related tools (x402-estimate-gas, x402-fee-history, x402-gas, x402-block-fee), the absence of any routing or selection criteria is a critical gap.

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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