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minia2a-mcp

x402-parse-date

Parse Date: Parse date.

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 delivers nothing. It does not state expected input format, output shape, error behavior, or edge-case handling. For a parsing tool with zero annotation coverage, this is a complete behavioral black box.

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 description is 'short' but this is under-specification, not conciseness. It contains no useful content whatsoever — the title-like prefix 'Parse Date:' merely duplicates the tool name, and the body 'Parse date.' restates it again. There is no front-loaded guidance because there is no guidance at all.

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 input schema, and no output schema, the description is the only information source for an agent, and it explains nothing. Given a sibling list containing hundreds of tools including many date utilities, the description must at minimum clarify input format, return value, and differentiation from siblings. It provides none of these, making correct invocation impossible.

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, so there is nothing for the description to add at the parameter level — per the rubric, 0 params receives a baseline of 4. The description contributes no parameter meaning, but none is required since the schema is empty. The unresolved question of how the tool receives its input belongs to contextual completeness rather than parameter semantics.

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 'Parse Date: Parse date.' is a pure tautology — it restates the tool name without adding any information. It does not specify the input format, what 'parsing' produces, or how this differs from the many date-related siblings such as x402-format-date, x402-unix-to-date, or x402-epoch-to-date. An agent cannot determine what this tool actually does.

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?

The description offers zero guidance on when to use this tool versus any alternative. Among the sibling list there are dozens of date utilities, and nothing distinguishes when x402-parse-date should be selected over x402-date, x402-date-to-epoch, x402-iso-to-unix, or x402-date-diff. There is no context, no condition, and no exclusion.

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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