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netfluid__account_buy_telco

Purchases airtime by converting currency to minutes and seconds. Confirm (yes/no) before executing

Purchases airtime by converting currency to minutes and seconds. @param api_key: The api key allocated to your application @param token: The wallet_api_token provided by /access/login @param account_fk: The account_fk (this is a database ID (int) not an account address (str) and may not be 0) The account_fk from which to deduct the amount @param amount: The amount in currency, 2 decimals @param currency_code: The currency code, e.g USD, ZAR, BWP, ZIG

@return: a json object

Input Schema

NameRequiredDescriptionDefault
tokenYes
amountYes
api_keyYes
account_fkYes
currency_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

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose that this is a purchase that deducts from a specified account and that confirmation is required first, which is meaningful behavioral context. But it says nothing about irreversibility, failure modes (e.g. insufficient balance), or what the returned JSON contains beyond '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.

Conciseness3/5

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

The opening sentence is duplicated verbatim, wasting space at the front, and it is followed by JSDoc tags pasted in wholesale. The parameter details earn their place, but the repetition and mixed prose/JSDoc structure hurt front-loading.

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 mutating, money-moving tool with no annotations and no output schema, the definition covers inputs well and flags the confirmation step, but leaves the return value completely unspecified and omits any failure or balance-check behavior. 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 coverage is 0%, so the description must compensate, and it largely does: it documents all five parameters, clarifies that account_fk is an integer database ID rather than an address (and cannot be 0), specifies amount is currency with 2 decimals, and gives currency code examples. Only the token/api_key origins are touched lightly.

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 (purchase airtime) plus the distinguishing mechanism (converting currency to minutes and seconds), which separates it from generic siblings like account_buy or account_pay. However, it never names those siblings explicitly, so the agent must infer the boundary from the name alone.

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?

The only usage guidance is 'Confirm (yes/no) before executing', which is about a workflow step, not about when to choose this tool over account_buy, account_pay, or fund_ott. No prerequisites (e.g. needing a valid account_fk and token) or exclusions are stated.

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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