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QuassLabs API

buy_credits

Get a Stripe Checkout link to top up the credits on the API key you are calling with. Starter pack: $5 for 500 credits. Pro pack: $20 for 2500 credits. 1 credit = $0.01. Give the returned checkout_url to a human to complete payment in a browser; the credits are added to this key automatically once the payment succeeds, usually within seconds. Calling this tool does not charge anything and costs no credits.

Input Schema

NameRequiredDescriptionDefault
packNoWhich pack to buy. Defaults to "starter" ($5 / 500 credits). "pro" is $20 / 2500 credits.
packsNoHow many of that pack. Defaults to 1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses the human-in-the-loop requirement (hand checkout_url to a human to pay in a browser), the asynchronous fulfillment behavior (credits added automatically within seconds of payment), and that calling the tool itself charges nothing and consumes no credits.

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?

Front-loaded with the action and result, and every sentence carries operational value. Minor redundancy: pricing is given three times ($5/500, $20/2500, and 1 credit = $0.01) and duplicated again by the schema.

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?

No output schema exists, and the description compensates by naming the returned field (checkout_url) and explaining what happens after payment. For a two-optional-parameter tool this is fully sufficient to call correctly.

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 description coverage is 100%, so both `pack` and `packs` are already documented, including the enum values and pricing. The description restates the same pack pricing rather than adding new semantics (e.g. how `packs` interacts with the checkout URL or whether it multiplies the charge).

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?

States a concrete verb and resource ("Get a Stripe Checkout link to top up the credits") and pins the scope to the calling API key. No sibling tool does anything similar, so no differentiation is required.

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?

The context of use is clear (topping up credits) and it explicitly notes that invoking it costs nothing, which tells the agent it is safe to call speculatively. It never states when not to call it or what the alternative is, though no plausible alternative exists among the siblings.

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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