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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_process_third_party_event

Process events from Mee6, Arcane, Tatsu, and other bots by parsing messages and converting them into Loyalteez events for Discord leveling integrations.

Instructions

Handle events from Mee6, Arcane, Tatsu, etc. Parses bot messages and converts to Loyalteez events. Use this to integrate with existing Discord leveling bots.

See also: loyalteez://docs/integrations/third-party

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoLevel reached (for level_up events)
brandIdNoYour brand wallet address. If not provided, uses LOYALTEEZ_BRAND_ID environment variable.
metadataNoAdditional event data
platformYesPlatform: "discord" | "telegram" | etc.
eventTypeYesType of event from the bot
sourceBotYesSource bot that generated the event
rawMessageNoRaw bot message for parsing
achievementNoAchievement name (for achievement events)
targetUserIdYesTarget user ID (platform format)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the core side effect (a Loyalteez event is created/converted), which is genuine behavioral information, but it says nothing about idempotency, duplicate-message handling, auth requirements, or rate limits for a write-style tool with a rawMessage parsing step.

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?

Three short, front-loaded fragments: the resource, the transformation, and the use case, plus a docs pointer. No sentence is redundant and nothing buries the key point.

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 9-parameter tool with a nested metadata object and no output schema or annotations, the description covers purpose and context but omits what an agent would want next: which parameters are conditionally required per eventType (level vs achievement vs rawMessage) and what happens on parse failure. The docs link partially compensates.

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 all 9 parameters including enums for sourceBot and eventType. The description adds no parameter-level detail (e.g., which params are needed per eventType), so it sits at the baseline.

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 names a concrete resource and process: handling third-party bot events and converting them into Loyalteez events, with named source bots (Mee6, Arcane, Tatsu). It implicitly distinguishes itself from native-event siblings like loyalteez_create_event, though it never names those siblings explicitly.

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?

"Use this to integrate with existing Discord leveling bots" gives a clear triggering context that separates it from generic event tools. It stops short of naming alternatives or stating when NOT to use it (e.g., for native Loyalteez events, use loyalteez_create_event).

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