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Add a payment card (console link)

gpucloud_add_payment_method
Read-onlyIdempotent

An AI agent never enters card details: returns the console page where the account owner adds a card themselves. (permission: billing:read) [Requires a free GPU Cloud account and MCP key]

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely new context: the required permission scope (billing:read), the prerequisite of a free GPU Cloud account and MCP key, and the key behavioral fact that the agent itself never handles card data. It does not describe error or failure behavior.

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?

The core behavior is front-loaded in the first clause and the permission/prerequisite metadata is bracketed compactly. The bracketed asides are slightly noisy but each carries actionable information (permission scope, account precondition), so little is wasted.

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

Completeness5/5

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

For a zero-parameter, read-only hand-off tool with no output schema, the description covers the deliverable (a console page), the precondition (free account + MCP key), the permission needed, and the division of labor between agent and human. Nothing an agent needs to call it correctly is absent.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter semantics are needed or missing.

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

Purpose5/5

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

The description states exactly what the call produces — it returns the console page where the account owner adds a card — which is a specific, verifiable outcome rather than a restatement of the 'add_payment_method' name. It also implicitly distinguishes itself from gpucloud_get_payment_method (read an existing card) by framing the result as a hand-off page, not a mutation.

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

Usage Guidelines4/5

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

It gives a clear selecting condition: an AI agent never enters card details, so this tool is the route when card entry is required. It does not explicitly name alternatives (get_payment_method, get_console_url) or state when not to call it, so it falls short of full explicit routing.

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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