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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_create_drop

Create time-limited reward drops with reaction or button claims, then get the drop ID, claim URL, and embed data for posting.

Instructions

Create time-limited reward drops (reaction drops, claim buttons). Returns drop ID, claim URL, and embed data for posting.

See also: loyalteez://docs/shared-services/drops-service

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rewardYesLTZ reward amount
brandIdNoYour brand wallet address. If not provided, uses LOYALTEEZ_BRAND_ID environment variable.
metadataNoAdditional drop configuration
platformYesPlatform: "discord" | "telegram" | "web" | etc.
serverIdYesServer/community ID (for Discord/Telegram)
eventTypeYesEvent type to trigger when claimed
maxClaimsYesMaximum number of claims
triggerTypeNoHow users claim the drop
triggerEmojiNoEmoji for reaction-based drops
expiresInSecondsYesTime until drop expires (in seconds)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses the return payload (drop ID, claim URL, embed data) and the time-limited nature of the drop, but says nothing about required permissions, whether the drop is immediately live, or what happens when maxClaims/expiry are hit.

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?

Two tight sentences: the creation action and drop types lead, the return payload follows, then a doc reference. No filler, everything front-loaded.

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 10-parameter mutation tool with no annotations and no output schema, the description covers the return shape and the drop's lifecycle constraint, which is the most important missing structured information. It still omits auth/permission requirements and error behaviour, leaving a modest gap.

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% across all 10 parameters, so the schema already documents reward, brandId, platform, serverId, eventType, triggerType, triggerEmoji, maxClaims and expiresInSeconds. The description adds no syntax or format detail beyond the schema, which is the baseline-3 case.

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 and resource (create reward drops) and clarifies the two drop flavours, reaction drops and claim buttons, plus time-limited scope. It does not explicitly contrast with the sibling loyalteez_claim_drop or loyalteez_create_event, so it is clear but not fully sibling-differentiated.

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?

Usage is implied by 'for posting' and the pointer to the drops-service docs, which gives an agent a place to look. There is no explicit when-to-use vs when-not, nor any routing away from create_event or claim_drop, so guidance remains inferential.

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