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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_health_check

Check Loyalteez API health to verify Event Handler, database, blockchain, and Privy services are operational. Use it for diagnostics or before making API calls.

Instructions

Check the health status of Loyalteez APIs. Verifies that the Event Handler, database, blockchain, and Privy services are operational. Useful for diagnostics and verifying API availability before making calls.

See also: loyalteez://docs/api/rest-api

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandIdNoYour brand wallet address. Optional - health check works without brandId.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries full burden and does disclose the scope of the check (which four backend services are verified), which is valuable. However, it says nothing about authentication needs, rate limits, or whether the check is read-only and side-effect free, leaving meaningful behavioral gaps.

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 sentences with no waste; the core purpose leads and the doc reference is a useful trailing pointer.

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?

No output schema exists, so the description should ideally describe what a health result looks like (per-service status, overall pass/fail), but it does not. For a simple diagnostic tool this is a modest but real 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% and the single brandId parameter is fully documented in the schema. The description never mentions brandId, so baseline 3 is appropriate since the schema does the work.

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?

States a specific verb and resource ('Check the health status of Loyalteez APIs') and enumerates what is verified (Event Handler, database, blockchain, Privy). This clearly distinguishes it from the action-oriented siblings like create_event or track_event.

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 says it is 'Useful for diagnostics and verifying API availability before making calls,' giving a clear usage context. It stops short of naming when-not-to-use or a specific alternative, but no sibling overlaps functionally.

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