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netfluid__netfluid_voucher_check

Performs a validation on a Netfluid voucher code. The voucher is not redeemed, only validated @param voucher_code: The Netfluid voucher code, format is 4 sets of integers, e.g. 1234-4321-1234-4321

@return: a json object

Input Schema

NameRequiredDescriptionDefault
voucher_codeYes

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

A3.5/5.0
Behavior3/5

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

Annotations are empty, so the description carries the full burden; it does disclose a valuable behavioral trait (non-destructive, no redemption occurs). However it says nothing about authentication requirements, rate limits, idempotency, or error behavior on an invalid code, leaving meaningful gaps for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded, with the purpose in the first sentence and the non-redemption constraint immediately after. The javadoc-style '@param'/'@return' tags are slightly clunky but cost little space.

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 single-parameter validation tool this is mostly sufficient, and the '@return: a json object' note acknowledges the absent output schema. Still, what the JSON contains (valid/invalid flag, balance, expiry) and required auth are unspecified, leaving the caller unable to anticipate the response.

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% (the property is a bare string), so the description must compensate, and it does: it specifies the format as four sets of integers and gives the concrete example '1234-4321-1234-4321'. That is real information an agent could not get from the schema, though it omits whether dashes are mandatory.

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

Purpose4/5

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

States a specific verb and resource ('Performs a validation on a Netfluid voucher code') and immediately scopes it by ruling out redemption, which separates it from siblings like account_merchant_voucher_redeem. It stops short of naming an alternative sibling outright, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'The voucher is not redeemed, only validated' gives an implicit when-to-use boundary against redemption flows, but there is no explicit statement of when an agent should call this versus account_merchant_voucher_redeem or wallet_voucher_list. Usage is implied rather than prescribed.

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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