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minia2a-mcp

x402-sharpe-ratio

Sharpe Ratio: Ratio of sharpe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 mention of what data the calculation requires, how inputs are sourced given the empty schema, whether the operation reads or mutates state, or what the return value looks like. The description is behaviorally empty.

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 short but this is under-specification, not conciseness. The single sentence 'Ratio of sharpe.' earns no place — it communicates nothing beyond the tool name and wastes the one opportunity the description had to inform the agent. This mirrors the 'Process' calibration case.

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 annotations, no output schema, an empty input schema, and a tautological description, the tool has no usable information at all. The Sharpe ratio's calculation method, input requirements, and output format are entirely opaque. This is completely inadequate for an agent to select or invoke the 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?

The schema has 0 parameters, so the 100% coverage is vacuous and the baseline would normally be 4. However, a Sharpe ratio calculation cannot operate on nothing, and the description fails to explain how inputs (e.g., returns series, risk-free rate) are supplied or what data the agent must provide. The tautological text adds no meaning that compensates for the empty schema.

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 'Sharpe Ratio: Ratio of sharpe.' is a pure tautology — it restates the tool name without defining the operation. It never states that the tool computes a risk-adjusted performance metric from return data, and 'ratio of sharpe' is circular and meaningless. The presence of sibling x402-sharpe makes the ambiguity worse, as an agent cannot tell which tool actually calculates the Sharpe ratio.

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 alternatives. The sibling list includes x402-sharpe, x402-returns, x402-annualized-return, and x402-rsi, yet the description gives no hint about which scenario selects this tool over those. An agent has no basis for choosing this tool.

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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