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minia2a-mcp

x402-company-check

Company Check: Company check — registration, reputation, and risk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoInput to process
domainNoDomain to process

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only lists coverage areas and never states whether this is a read-only lookup, whether external registries are queried, whether authentication or network access is needed, or what the response shape 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.

Conciseness3/5

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

The description is a single short sentence with no filler, which is appropriately sized. However, it opens with a redundant restatement of the tool name ('Company Check: Company check') before delivering the only substantive content, 'registration, reputation, and risk.'

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description should explain return values and invocation details but does neither. It leaves parameter formats unspecified, doesn't clarify whether one parameter is sufficient despite both being optional in the schema, and offers no distinction from sibling tools. An agent would be guessing at correct usage.

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?

Schema coverage is 100%, meeting the baseline-3 threshold, but the schema descriptions are tautological placeholders ('Input to process', 'Domain to process') that convey no real meaning. The tool description implies 'input' is a company identifier and 'domain' is a company domain, but it doesn't specify formats (name vs. registration number vs. jurisdiction) or how the two parameters combine, nor that neither is required by the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (a company) and three coverage areas (registration, epuration, risk), which gives more than pure tautology. But the core phrase 'Company Check: Company check' mostly restates the tool name, and the verb 'check' doesn't specify the operation (lookup? verify? score? produce report?). It also does not distinguish the tool from siblings like x402-domain-due-diligence or x402-entity-lookup.

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?

No guidance on when to use this tool versus the many similar siblings (x402-domain-due-diligence, x402-domain-intel, x402-domain-report, x402-entity-lookup). There are no exclusions, prerequisites, or context signals helping an agent select between alternatives.

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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