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minia2a-mcp

x402-receivables-turnover

Receivables Turnover: Receivables Turnover

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 exist, so the description carries the full burden of behavioral disclosure, and it discloses nothing. The description does not state how receivables turnover is calculated, what data it requires (despite taking zero parameters), what output format it returns, or whether it depends on external data sources. 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 rather than conciseness. Repeating the tool name in both halves of the string wastes the entire length without delivering any content that earns its place.

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?

Despite the tool having no parameters, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine the computation formula, the return value, the required data period, or how this tool differs from the many similar financial-metric tools in the sibling list. The description leaves every meaningful question unanswered.

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 is an empty object with zero parameters, and the rubric sets a baseline of 4 for zero-parameter tools since there is nothing the description needs to compensate for. The description adds no meaning, but no parameter documentation is needed here; the tool simply takes no input.

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 'Receivables Turnover: Receivables Turnover' is a pure tautology that merely restates the tool name. It provides no verb, no resource, no explanation of what the tool computes (e.g., the financial ratio net credit sales / average accounts receivable), and no differentiation from the hundreds of financial siblings such as x402-asset-turnover, x402-inventory-turnover, and x402-days-sales-outstanding.

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 alternatives. With many financial-ratio siblings in the list (asset-turnover, inventory-turnover, days-sales-outstanding, cash-conversion-cycle, quick-ratio), an agent is given no criteria to select this specific tool, making it indistinguishable from its neighbors.

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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