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minia2a-mcp

x402-nft-metadata

NFT Metadata: NFT Metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoId to process
chainNoChain to process
tokenNoToken to process
addressNoAddress to process
tokenIdNoTokenId to process
contractNoContract to process

TDQS

D1.1/5.0
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 reveals nothing. It does not state whether this is a read operation, whether it requires network access, what chains or NFT standards it supports, what the return format looks like, or what failure modes exist. The text contributes 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 short, but this is under-specification rather than conciseness. A single five-word string that repeats the tool name earns no structural credit; every sentence should add information, and this one adds none.

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?

This is a 6-parameter tool with no annotations, no output schema, and a dense sibling list of similar NFT tools. Such a definition needs substantial context about parameter relationships, return values, and supported chains/standards. The description is completely inadequate for an agent to select and invoke this tool correctly.

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

Parameters1/5

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

Although schema coverage reports 100%, every parameter description is the vacuous boilerplate 'X to process' (e.g., 'Id to process', 'Chain to process', 'Token to process'). These provide no semantic meaning beyond the parameter names. With six optional string parameters, no required parameters, and no guidance on valid combinations (e.g., is it contract+tokenId, or address alone?), the agent cannot construct a correct call. The description adds nothing to compensate.

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 'NFT Metadata: NFT Metadata' is a pure tautology that restates the tool name in title case. It uses no verb, states no action, and gives the agent no information about what the tool does with NFT metadata. It is indistinguishable from the name itself and offers no differentiation from closely related siblings like x402-nft-owner, x402-erc721-info, and x402-erc1155-info.

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 versus alternatives. Given a sibling ecosystem containing x402-nft-owner, x402-erc721-info, x402-erc1155-info, and x402-wallet-nfts, an agent has no way to know which NFT-related tool to pick. No use cases, exclusions, chain support, or token standard guidance is provided.

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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