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minia2a-mcp

x402-token-decimals

Token Decimals: Token Decimals

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain to process
tokenNoToken to process
addressNoAddress to process

TDQS

D1.2/5.0
Behavior1/5

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

No annotations are provided, so the description bears the full burden of behavioral disclosure, and it discloses nothing. It does not state that this is an on-chain read, which chain formats are accepted, whether any state changes occur, how the decimals are resolved, or what the response looks like. The agent is left completely blind to the tool's behavior.

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?

The text is short, but this is under-specification, not conciseness. A single repeated phrase cannot be called economical because it carries no information. Every sentence should earn its place, and this one earns nothing — it adds zero informative value over 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 blockchain lookup tool with three parameters, no annotations, and no output schema, this description is completely inadequate. An agent cannot determine valid chain identifiers, token input format, whether parameters are optional or interdependent, or what value will be returned — all essential for correct invocation.

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?

Schema coverage is 100%, which normally earns a baseline of 3, but the schema descriptions themselves are vacuous — "Chain to process," "Token to process," and "Address to process" give no format, no example, and no relationship between parameters (e.g., is token an address or a symbol? does address refer to the token contract? is chain a name or ID?). The description adds nothing to clarify these three ambiguous parameters, so it fails to compensate for the schema's shallowness.

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 "Token Decimals: Token Decimals" is a pure tautology that merely restates the tool name in both its title and body positions. It never states a verb or what the tool actually does (e.g., fetch the decimal precision of an ERC-20 token on a given chain). The name hints at the purpose, but the description itself provides zero functional statement — a textbook case of under-specified, self-referential text.

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 no guidance whatsoever about when to use this tool versus any alternative. The sibling list contains closely related token tools like x402-token-symbol, x402-token-total-supply, and x402-token-price that may use the same chain/token/address parameters, yet nothing distinguishes when an agent should pick this one.

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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