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minia2a-mcp

x402-yaml-json

Yaml JSON: Yaml JSON

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yamlNoYaml to process
inputNoInput to process

TDQS

D1.3/5.0
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. It discloses nothing: no statement of whether this parses, converts, validates, or round-trips; no indication of what the return value looks like; no error behavior. A format-conversion tool with an absent output schema and an empty behavioral description leaves the agent completely blind.

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 only four words, but this is under-specification rather than conciseness. It front-loads nothing useful and every word is wasted repetition of the tool name; there is no structure that helps an agent parse intent.

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?

For a two-parameter transformation tool with no annotations and no output schema, the description needed to explain the conversion direction, required inputs, and return format. It explains none of these. An agent cannot correctly invoke this tool with the information provided; the definition is wholly inadequate.

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?

Although schema coverage is 100%, the schema's own descriptions are circular and unhelpful ('Yaml to process', 'Input to process'), so the baseline-3 assumption that the schema does the heavy lifting does not hold. The description adds nothing to clarify which parameter is the source, which is the output, or whether both must be supplied — and both are declared optional, which is nonsensical for a converter that needs at least one input.

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 'Yaml JSON: Yaml JSON' is a pure tautology that merely restates the tool name. It states no verb, names no operation, and fails to clarify the conversion direction — an agent cannot tell whether this converts YAML to JSON, JSON to YAML, or something else entirely, especially with the reverse-named sibling x402-json-yaml present.

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 any of the dozens of sibling conversion tools (x402-json-yaml, x402-toml-json, x402-xml-json, x402-csv-json). Worse, the two parameters — 'yaml' and 'input' — plus the tautological description leave the direction ambiguous, actively risking mis-selection between this tool and x402-json-yaml.

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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