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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_streak_checkin

Process a streak check-in for a user on a platform to track consecutive daily activity, apply bonus multipliers, and award milestones.

Instructions

Process a streak check-in with automatic multipliers and milestones. Tracks consecutive daily activity and applies bonus multipliers.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdYesPlatform user ID (format: platform_userId or email)
brandIdNoYour brand wallet address. If not provided, uses LOYALTEEZ_BRAND_ID environment variable.
platformYesPlatform: "discord" | "telegram" | "web" | etc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.2/5.0
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 discloses side-effect-relevant behavior ('applies bonus multipliers', tracks consecutive daily activity), which is meaningful. However, it omits idempotency (does a second check-in compound?), error behavior, and what happens on a missed day, which matters for a mutation-style tool.

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?

Two sentences plus a docs pointer, front-loaded with the operation and its effect. Efficient, though the second sentence is somewhat redundant with the first.

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 3-param tool with no annotations and no output schema, the description tells the agent what the call does but not what it returns (new streak count? multipliers applied?) or the streak semantics. The docs link partially compensates, leaving it adequate but incomplete.

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 three parameters (userId, brandId, platform) including their formats and env fallback. The description adds no parameter-level semantics beyond what the schema provides; baseline 3 is correct.

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 ('Process a streak check-in') and clarifies the mechanism (automatic multipliers and milestones). It does not explicitly distinguish itself from the sibling 'loyalteez_log_activity' or 'loyalteez_get_streak_status', leaving the agent to infer the boundary, which keeps it from a 5.

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

Usage Guidelines2/5

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

No when-to-use guidance is given. The description does not say when to prefer this over log_activity or check_status, nor does it state preconditions. The only pointer is a docs URI, which is not actionable routing.

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