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minia2a-mcp

x402-dms-to-decimal

Dms To Decimal: Convert dms to decimal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose what input structure is expected, what output format is returned, precision behavior, or whether it handles negative coordinates, hemisphere letters, or direction suffixes. The description only restates the conversion and adds no behavioral detail.

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 one short sentence, which is efficient, but it omits necessary context. It is not bloated, but it is under-specified for a tool with no input schema and no annotations.

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?

With no input schema, no output schema, no annotations, and only a two-word restatement of the name, an agent has almost no information to invoke this tool correctly. It lacks input format, output format, and any guidance on DMS notation variants.

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

Parameters4/5

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

The schema has 0 parameters and schema description coverage is 100%, meaning all parameters are documented implicitly. However, the description does not compensate for the absence of parameters by explaining how the input should be passed (e.g., via text input, a string representation of DMS). Since there are 0 params, baseline 4 applies, but no added meaning 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 'Dms To Decimal: Convert dms to decimal.' It uses a verb 'convert' and identifies the resource, but it is largely a restatement of the tool name. It does not distinguish this from the sibling x402-decimal-to-dms, so it fails to clarify which conversion direction is handled beyond the name.

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 information is given about when to use this tool rather than x402-decimal-to-dms or other coordinate conversion tools. The context is implied by the name but not explicit, and there is no mention of input format expectations, coordinate types (latitude/longitude, degrees-minutes-seconds format), or when this conversion is needed.

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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