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minia2a-mcp

x402-ip-geolocation

IP Geolocation: IP Geolocation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipNoIp to process
addressNoAddress to process

TDQS

D1.9/5.0
Behavior2/5

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, but it provides none. It doesn't state what data is returned (lat/long? country? city?), whether it accepts IPv4/IPv6, whether it's a network call that could fail or incur latency, or any privacy considerations for sending an IP address to a remote service. The tautological description gives the agent no behavioral insight.

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 extremely short, but this is under-specification, not effective conciseness. It front-loads nothing meaningful since it only repeats the tool name. A single tautological phrase does not earn credit for efficient structure.

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 tool has no annotations, no output schema, and a vacuous description. It takes two parameters with ambiguous semantics and sits among thousands of siblings where the name alone cannot disambiguate it. The definition is completely inadequate for an agent to select or invoke this tool correctly.

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 description coverage is 100%, but the descriptions are generic ('Ip to process', 'Address to process') and don't clarify semantics. The tool name suggests geolocation, so 'ip' likely means the IP address to locate, and 'address' might mean a street address for geocoding – but this is ambiguous and never explained. Neither parameter describes format (e.g., IPv4 vs IPv6, address string format), requiredness, or which one takes precedence. Both are optional yet the description doesn't say what happens if both or neither is provided.

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

Purpose2/5

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

The description is 'IP Geolocation: IP Geolocation' – a tautology that merely restates the tool name. It provides no verb, no effect, and no indication of what the tool actually does beyond the name. The name suggests IP geolocation, but the description adds zero clarification.

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 is provided on when to use this tool versus alternatives. The sibling list contains several related tools like x402-ip-geo, x402-ip-info, x402-geocode, x402-reverse-geocode, and x402-nearest-city, but nothing differentiates them. An agent has no basis for choosing this tool over those.

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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