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minia2a-mcp

x402-is-deficient-number

Is Deficient Number: Is Deficient Number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.3/5.0
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. It does not mention what a deficient number is (sum of proper divisors less than the number), how input is supplied given the empty schema, whether anything is computed or just validated, or what the return value looks like.

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

Conciseness1/5

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

This is not conciseness — it is redundant filler. The phrase 'Is Deficient Number' is repeated verbatim, adding zero informational value. A minimal viable description would at least define the predicate or state how input is received.

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?

Even accounting for the zero-parameter schema and absence of output schema, this description is completely inadequate. It fails to define the mathematical concept, fails to explain how the number being tested is provided, and fails to differentiate from at least three near-identical sibling tools. An agent has no basis to invoke this tool correctly.

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

Parameters3/5

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

The 0-parameter schema earns a baseline of 4 since there are no parameters to document. However, the tool's own name implies a numeric input ('is-deficient-number'), and the empty schema combined with no explanation creates genuine ambiguity about how the agent provides the number to test. The description should have clarified that the number comes from context or another channel; it doesn't, so a small deduction applies.

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 'Is Deficient Number: Is Deficient Number' is a pure tautology that merely restates the tool name. It contains no verb, no resource, and no explanation of what the tool actually does, how deficiency is determined, or what output is produced. It fails even the most basic requirement of stating the tool's function.

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. No context, no examples, no exclusions. This is especially damning given the sibling list contains near-identical tools like x402-is-deficient, x402-is-deficient-num, and x402-deficient-numbers — an agent cannot possibly know which one to select.

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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