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minia2a-mcp

x402-mass-from-moles

Mass From Moles: Mass of from moles.

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?

No annotations are provided, so the description carries the full disclosure burden and fails completely: it does not state that this is a pure deterministic read-only calculation, what it returns, what units are expected, or why its input schema is empty. There is no annotation to contradict since none exist, so this is not flagged as a contradiction.

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 text is short, but this is under-specification rather than conciseness — it contains a grammatical error and no usable information. There is no front-loading of scoping, usage, or differentiation from sibling tools.

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 chemistry calculation tool with no annotations, no output schema, and an empty input schema, this description is completely inadequate. It omits required inputs, the formula, units, return value, and any differentiation from the sibling x402-moles-from-mass, so an agent cannot correctly select or invoke it.

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 is an empty object, and the broken description does nothing to compensate. Although the 0-param baseline is 4, that assumes a self-explanatory tool; here 'mass from moles' logically requires at least moles and molar mass inputs, so the empty schema is a red flag. An agent cannot determine how to invoke this tool at all.

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 'Mass From Moles: Mass of from moles.' is a near-tautology that restates the tool name and is grammatically broken ('Mass of from moles' is missing its object). It never states a verb like 'calculate' or 'convert,' and never explains the underlying formula (mass = moles × molar mass), so an agent learns nothing beyond what the name already implies.

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. Obvious siblings like x402-moles-from-mass (the inverse operation) and x402-molar-mass exist, but the description names no alternatives and gives no selection criteria or prerequisites. An agent has no basis for choosing this over related chemistry tools.

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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