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netfluid__wallet_card_remove

Removes a tokenised Visa/Mastercard(s) associated with this wallet, confirm (yes/no) before executing

Removes a tokenised Visa/Mastercard(s) associated with this wallet. @param api_key: The api key allocated to your application @param token: The wallet_api_token provided by /access/login @param wallet_fk: The wallet_fk provided by /access/login @param wallet_card_id: The wallet_card_id provided by /wallet/card_list

@return: a json object

Input Schema

NameRequiredDescriptionDefault
tokenYes
api_keyYes
wallet_fkYes
wallet_card_idYes

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 provided, so the description carries the full behavioral burden. It implies a destructive, likely irreversible removal of a payment card, but never states irreversibility, permission requirements, side effects, or what happens on re-adding; the dangling 'confirm (yes/no)' hint references a confirmation flow the schema does not implement.

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 ('Removes a tokenised Visa/Mastercard(s) associated with this wallet'), which is pure waste. The docstring-style @param/@return block is functional but verbose relative to the content it delivers.

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 destructive four-parameter mutation with no annotations and no output schema, the description is thin: it never explains consequences of removal, error conditions, or the return shape ('a json object' is vacuous), and the confirm instruction has no backing parameter. Parameter provenance is the one genuinely complete part.

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 must compensate, and it does well: it documents all four parameters and, importantly, tells the agent where each value originates (api_key/token/wallet_fk from /access/login, wallet_card_id from /wallet/card_list). It stops short of format/constraint details, so not a 5.

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?

The description states a specific verb (Removes) and resource (tokenised Visa/Mastercard(s) associated with this wallet), which is clear and lets an agent distinguish it from the read-oriented sibling netfluid__wallet_card_list. It does not explicitly name a sibling or scope the operation further, so it falls short of a 5.

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 ambiguous and unsupported by any parameter in the schema. There is no explicit statement of when to use this versus alternatives or any prerequisites/exclusions, leaving the agent to infer everything.

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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