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netfluid__currency_crypto

Returns a live price in USD for a based commodity

Returns a live price in USD for a based commodity @param api_key: The api key allocated to your application @param code: The crypto code e.g BTC, ETH, ALGO, HBAR

@return: a json object

Input Schema

NameRequiredDescriptionDefault
codeYes
api_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "type": "object"
      -}New value: +null
  2. Added

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It discloses that an api_key is required and that the result is 'a json object', which is a small amount of context, but says nothing about error behavior, rate limits, data freshness, or what happens with invalid codes. For a zero-annotation tool this is a significant gap.

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 opening sentence is duplicated verbatim, and the JSDoc-style @param/@return block is boilerplate. The content is short, but roughly half of it is redundancy rather than earned text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 2-parameter read tool with no output schema and no annotations, the description covers the inputs adequately and mentions the return type, but it omits distinguishing detail against sibling price tools and any behavior on invalid currency codes. Adequate but with clear gaps.

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?

Schema description coverage is 0%, so the description has to compensate, and it largely does: it explains that api_key is 'allocated to your application' and that code takes crypto tickers with concrete examples (BTC, ETH, ALGO, HBAR). The examples function as a de facto enumeration, adding real meaning beyond the bare string type.

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

Purpose3/5

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

The description states a concrete action and output ('Returns a live price in USD') but the phrasing 'for a based commodity' is awkward and does not distinguish this tool from near-identical siblings such as currency_forex, currency_rates, or commodity_types. An agent can infer it deals with crypto prices, but only from the tool name, not the description.

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 currency_forex/currency_rates, no mention of rate limits, freshness, or prerequisites beyond the implied api_key. The agent is left to infer usage entirely from the name.

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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