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minia2a-mcp

x402-accounting-format

Accounting Format: Format a number as currency (accounting).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValue to process
amountNoAmount to process
currencyNoCurrency to process
decimalsNoDecimals to process
negativeNoNegative to process

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden, and it says only what the tool does, not how it behaves. It does not mention whether negative amounts are parenthesized, whether accounting sign conventions are applied, whether decimals scale with currency, or what the output string looks like. 'Accounting' implies a specific convention, but the description does not spell it out.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

At 12 words, the description is brief and the main verb-plus-resource is front-loaded. However, the brevity is under-specification, not economy: it omits exactly the details (parameter roles, negative handling, format rules) that would make the tool callable. It is concise but not structured like a useful tool explanation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 5 parameters (two of which appear redundant: 'value' and 'amount'), no annotations, no output schema, and two near-identical sibling tools. The description provides no accounting-specific detail such as negative-number formatting, currency symbol placement, or default decimals. For an agent to invoke this correctly, it would need to guess the meaning of all five loosely-described string parameters — the description is not complete enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema describes all 5 parameters but each description is a tautological placeholder ('Value to process', 'Amount to process', etc.), so the schema contributes almost no semantic meaning. The tool description also fails to explain the roles of 'value' vs 'amount' or 'negative' vs 'decimals' — leaving an agent to guess which parameters are inputs and which are format options. The name tells us the output is accounting currency format, but not how to map the parameters.

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

Purpose3/5

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

The description states a specific verb and resource ('Format a number as currency (accounting)'), which is clear about the primary purpose. However, it doesn't distinguish this tool from the nearby siblings 'x402-currency-format' and 'x402-format-currency' — an agent cannot tell what makes 'x402-accounting-format' different from those names directly.

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?

There is no guidance about when to use this tool instead of alternatives like x402-format-currency or x402-currency-format. The description merely restates the function without giving any context, exclusions, or prerequisites. An agent facing a currency-formatting request would have no basis to prefer this tool over its siblings.

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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