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minia2a-mcp

x402-loan-amortize

Loan Amortize: Loan Amortize

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aprNoApr to process
rateNoRate to process
termNoTerm to process
yearsNoYears to process
amountNoAmount to process
principalNoPrincipal to process

TDQS

D1.5/5.0
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 discloses nothing: no mention of what is computed, what input conventions are assumed (percentage vs decimal APR, monthly vs annual rate), whether outputs include a schedule, or any side effects. The agent receives zero behavioral context.

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 two words long and contains zero informative content. This is under-specification rather than conciseness: the brevity buys nothing because every sentence (the only sentence) merely echoes the tool name.

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?

For a financial computation tool with six unconstrained parameters, no output schema, no annotations, and multiple near-identical siblings, the description needed to explain inputs, calculation semantics, and expected output. It provides none of these, leaving an agent unable to invoke the tool correctly or interpret its result.

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 tool description adds no meaning to the six parameters. Although schema coverage is technically 100%, each parameter description is the vacuous pattern 'X to process' — it does not define units, formats, or semantics. The schema pairs duplicate concepts (apr/rate, term/years, amount/principal) with zero required parameters and no explanation of whether they are aliases, alternatives, or complementary inputs, and nothing resolves that confusion.

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 'Loan Amortize: Loan Amortize' is a pure tautology that merely restates the tool name. It never states what the tool does (e.g., compute an amortization schedule, monthly payment, or principal/interest breakdown) and gives an agent no way to distinguish it from close siblings in the list such as x402-loan, x402-loan-payment, x402-mortgage-calc, and x402-mortgage-payment.

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 whatsoever about when to use this tool, what problem it solves, or how it differs from the other loan and mortgage tools listed as siblings. The two-word description provides no context that would help an agent decide between x402-loan-amortize and x402-loan-payment or x402-mortgage-calc.

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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