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netfluid__currency_forex

Returns a live forex price for a commodity in USD

Returns a live forex price for a commodity in USD @param api_key: The api key allocated to your application

@return: a json object

Input Schema

NameRequiredDescriptionDefault
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

C2.4/5.0
Behavior2/5

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

Annotations are empty, so the description carries the full burden and largely fails it. It implies a read-only quote, but never states auth requirements (beyond the api_key param), freshness/latency guarantees, rate limits, or what the returned JSON contains beyond the boilerplate "@return: a json object".

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 opening sentence is duplicated verbatim, and the trailing @param/@return boilerplate is padding rather than front-loaded information. Very little of the text earns its place.

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?

For a tool with no annotations, no output schema, and an unexplained commodity binding, the description is not complete enough to call correctly. It neither routes the agent among siblings nor explains what it will receive back.

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

Parameters3/5

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

Schema coverage is 0%, but the description does document the sole parameter ("the api key allocated to your application"), so it compensates for the one documented field. The larger gap is that the value the tool resolves against — the commodity — has no corresponding parameter or explanation, leaving the semantics of the call ambiguous.

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?

It gives a specific verb and resource ("returns a live forex price ... in USD"), which is better than a tautology, but it never distinguishes itself from the sibling currency_crypto, currency_rates and currency_types tools. The phrasing is also internally confusing: it promises a price "for a commodity" yet exposes no way to say which commodity.

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 when-to-use guidance at all. With three closely named currency_* siblings, an agent gets no help deciding whether this or currency_rates/currency_crypto is the right call.

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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