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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_create_events_batch

Create multiple loyalty events in one batch for a specific platform. Set up entire reward programs and return all created events with implementation code.

Instructions

Create multiple events at once. Perfect for setting up entire programs. Returns all created events plus platform-specific implementation code.

See also: loyalteez://docs/guides/custom-events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesArray of event definitions
brandIdNoYour brand wallet address. If not provided, uses LOYALTEEZ_BRAND_ID environment variable.
platformYesPlatform: "discord" | "telegram" | "web" | "shopify" | etc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the return content (all created events plus platform-specific implementation code), but says nothing about atomicity (all-or-nothing vs. partial failure), permission/auth requirements, or duplicate handling — significant gaps for a batch mutation.

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?

Three short, front-loaded segments with the core action first, followed by the use case, the return content, and a doc link. 'Perfect for setting up entire programs' is mild marketing filler, but nothing is bloated or buried.

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?

There is no output schema, so the description's mention of the return payload is valuable, and the parameters are fully covered by the schema. However, for a batch mutation with zero annotations, it omits failure/atomicity semantics and auth requirements an agent would need before committing multiple events.

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 the schema already documents platform, brandId, and the events array with its nested fields; the description adds no syntax or format detail beyond that. Baseline 3 applies when the schema does the heavy lifting.

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 verb+resource (create multiple events) and the batch scope via 'Create multiple events at once', which implicitly separates it from the singular sibling loyalteez_create_event. It stops short of explicitly naming that alternative, so differentiation is inferable rather than stated.

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

Usage Guidelines3/5

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

'Perfect for setting up entire programs' gives an implied usage context (bulk/program setup), but there is no explicit when-to-use vs. when-not, nor a pointer to loyalteez_create_event or loyalteez_bulk_events for the single-event or alternative case. Usage is suggested, not specified.

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