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minia2a-mcp

x402-julian-day

Julian Day: Julian Day

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2/5.0
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 'Julian Day: Julian Day' discloses nothing — no return type, no side effects, no input assumptions. An agent cannot tell whether this is a safe read-only computation, what output format to expect, or whether it depends on the current date.

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?

Two words is under-specification, not conciseness. The string 'Julian Day: Julian Day' does not earn its place because it communicates no information beyond what the tool name already conveys — it is redundant rather than economical.

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?

The tool has no output schema and no annotations, so the description is the sole source of information and it provides none. An agent cannot determine what input the tool assumes, what calculation it performs, or what format the result takes. For any tool this is inadequate.

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 an agent to misconfigure and the structural baseline of 4 applies. The description adds zero meaning about inputs, but with an empty schema there is genuinely no parameter risk to mitigate.

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 'Julian Day: Julian Day' is a pure tautology that merely restates the tool name with a colon and a duplicate. It contains no verb, no resource, and no indication of what operation is performed — whether it computes today's Julian Day number, converts a date, or formats a value. This matches the tautology definition exactly.

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?

The description offers no context for when to invoke this tool, no prerequisites, and no mention of alternatives. With dozens of date-related siblings available (x402-date-to-epoch, x402-epoch-to-date, x402-day-of-year, x402-julian-day itself sitting alongside them), an agent has no basis to select this tool over any other.

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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