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AgentPay — Pay-per-call AI Microservices

buy-credits-pro

buy-credits-pro
Idempotent

Pro credit pack - $20 USDC mints 2600 call-credits (+30% bonus) usable on every endpoint via X-AgentPay-Token ($20 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true and openWorldHint=true, so the mutation/idempotency profile is covered. The description usefully adds the price, the credit yield, the +30% bonus and the X-AgentPay-Token mechanism, but says nothing about auth requirements or what happens on a repeated purchase (despite idempotentHint=true).

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?

One front-loaded sentence with no filler; the key offer (price, credits, bonus) leads. The trailing '($20 USDC per call)' parenthetical sits awkwardly against the '$20 USDC mints 2600 call-credits' claim and reads as confusing rather than clarifying.

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 zero-parameter tool with a full annotation safety profile and no output schema, the description covers the essentials. The critical omission is sibling differentiation from buy-credits and buy-credits-starter, which an agent needs in order to choose the right pack.

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 the baseline is 4 and there is no parameter semantics for the description to supply or omit. Nothing here is missing.

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 resource (a 'Pro credit pack') and its concrete output (2600 call-credits for $20 USDC), so the agent knows exactly what buying this does. It does not, however, distinguish itself from the near-identical siblings buy-credits and buy-credits-starter, which is the most important differentiation here.

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?

There is no guidance on when to pick this pack over buy-credits or buy-credits-starter, even though those siblings share almost the same name. The agent must infer selection from price/bonus numbers alone, with no stated conditions or exclusions.

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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