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AppFreeticket

FreeTicket MCP Server

public_events_availability

Check live ticket availability by date and type for an event before placing an order.

Instructions

Stock en vivo por fecha y tipo de ticket (GET /public/events/{slug}/availability). Consultar antes de armar una orden.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug del evento
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, authentication requirements, or rate limits. The term 'live stock' implies real-time data but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with two short sentences. Every word serves a purpose, starting with the core function and then providing usage advice. No redundancy.

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?

With no output schema, the description fails to explain what the response contains (e.g., structure of availability data). For a simple tool it's acceptable but leaves the agent guessing about return format.

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 coverage is 100% for the single parameter 'slug', documented as 'Slug del evento'. The description adds no additional meaning beyond what the schema already provides, meeting the baseline.

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 clearly states it retrieves live stock by date and ticket type using a specific API endpoint. It distinguishes itself from sibling tools like public_events_get (event details) and public_orders_create (order creation).

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?

Explicitly advises 'Consultar antes de armar una orden' (check before building an order), indicating when to use it. No exclusions or alternative statements are provided, but the context is clear.

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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