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Glama

ticket-buy

Buy a prepaid Xynaptic ticket (0.5–20 USDC) to get ticket_id and ticket_secret for 20% off service calls, valid 90 days.

Instructions

Xynaptic Ticket — prepaid credit: pay once (0.5-20 USDC), get a ticket_id|ticket_secret, consume any service with header X-TICKET at 20% off. Valid 90 days. POST { amount_usd }. Usage: Use to preload a prepaid ticket at -20% for cost-efficient batches of calls. [price: $0.500 per call, x402/USDC]

Input Schema

NameRequiredDescriptionDefault
bodyYesJSON request body (POST endpoint)
paramsNooptional query parameters

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.4

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the returned credentials (ticket_id|ticket_secret), validity window (90 days), the X-TICKET header for consumption, the amount range (0.5-20 USDC), and the x402/USDC payment protocol. It omits failure/expiry behavior and any wallet/auth prerequisites, keeping it short of a 5.

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?

Information is front-loaded with the value proposition first, then mechanics, then usage. It is dense but mostly earns its words; the trailing '[price: $0.500 per call, x402/USDC]' partially restates pricing already implied earlier, a minor redundancy.

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

Completeness4/5

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

For a payment tool with no output schema and no annotations, the description covers purpose, cost, return values, validity, and consumption mechanics. It stops short of explaining error/expiry handling or minimum-cost semantics, but an agent has enough to invoke it correctly.

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?

Although schema coverage is nominally 100%, the body schema is an empty object, so the schema itself documents nothing useful. The description compensates by supplying the real parameter — 'POST { amount_usd }' with a 0.5-20 USDC range — which the agent could not otherwise infer.

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 action and resource: buy/preload a 'Xynaptic Ticket — prepaid credit' for later service consumption at a 20% discount. An agent can distinguish it from the data-oriented siblings (crypto-price, company-search, etc.). It is clear, though the core verb is implied rather than stated outright.

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 explicit usage context: 'Use to preload a prepaid ticket at -20% for cost-efficient batches of calls,' telling the agent when this tool is worthwhile. There are no genuine alternatives among the siblings to name, so the absence of exclusions is acceptable, though it does not quantify when batching pays off.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.