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minia2a-mcp

x402-geo-distance

Geo Distance: Distance between geo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lat1NoLat1 to process
lat2NoLat2 to process
lon1NoLon1 to process
lon2NoLon2 to process
toLatNoToLat to process
toLonNoToLon to process
fromLatNoFromLat to process
fromLonNoFromLon to process

TDQS

C2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of explaining behavior. It does not disclose whether the tool expects decimal degrees, whether the haversine formula is used, whether this is a read-only computation, or what the output looks like. For a distance calculation tool, the lack of unit/accuracy details is a meaningful gap.

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, so it is not bloated, but it is under-specified rather than concisely complete. The phrase 'Distance between geo' is mostly redundant with the tool name 'x402-geo-distance' and adds almost no new information.

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?

Given 8 parameters, no annotations, no output schema, and a vague description, the tool is not adequately documented. An agent would struggle to know whether to supply lat1/lon1 and lat2/lon2, or fromLat/fromLon and toLat/toLon, or all four pairs, or what units the result will use.

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 every parameter description is the unhelpful placeholder 'X to process'. The description provides no extra meaning about which parameters represent a point pair, which ones are from/to, or how the four coordinate values combine. With 8 string-typed parameters and zero meaning added by the description and schema, an agent cannot reliably know it needs exactly four coordinates and should pass one point's lat/lon and another point's lat/lon.

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 'Geo Distance: Distance between geo' is a near-tautology that simply restates the tool name in slightly different words. It identifies that the tool computes distance between geographic points, but gives no detail about what kind of distance (great-circle, Euclidean, haversine, driving?) or which coordinate formats are accepted.

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?

There is no guidance on when to use this tool versus alternatives such as x402-distance, x402-distance2d, x402-manhattan-distance, or x402-great-circle-distance. The description does not explain the specific geographic use case, units returned, or whether it is appropriate for address-based distances.

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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