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minia2a-mcp

x402-format-y-y-y-y-m-m-d-d

Format Y Y Y Y M M D D: Format y y y y m m d d.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.8/5.0
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 of behavioral disclosure, and it discloses nothing: no statement of what the tool does to its input, what it returns, whether it mutates anything, or — critically — how input is supplied given the schema is empty. The description is informationally empty.

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 not concise — it is redundant, saying the same thing twice in different spacing and casing. This is under-specification rather than economy: every word is wasted on restating the name instead of earning its place with useful content.

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?

There is no output schema, no annotations, an empty input schema, and a tautological description. An agent cannot determine the accepted input, the output shape, the separator convention, or how this tool differs from its formatting siblings. For a tool whose name suggests a date formatter, this is completely 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 schema has zero properties, so per the rubric the baseline is 4 — there are no parameters whose semantics need clarification. The description adds nothing here, but there is also nothing for it to add; the real problem (how an agent supplies the date to format) is a schema completeness issue, not a parameter-semantics one.

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 'Format Y Y Y Y M M D D: Format y y y y m m d d' is a pure tautology — it restates the tool name with spaces inserted and alternating case. It conveys nothing about what input is expected, what format is converted to or from, or how this differs from the many other date-formatting siblings (x402-format-date, x402-format-d-d-m-m-y-y-y-y, x402-format-m-m-d-d-y-y-y-y).

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 zero guidance on when to use this tool versus the dozens of sibling formatting tools. No context, no conditions, no mention of alternatives — an agent has no way to decide whether to call this tool or x402-format-date instead.

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.

Resources