Skip to main content
Glama
Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_bulk_events

Submit multiple events in one request to support batch processing, historical data imports, and high-volume integrations without repeated individual calls.

Instructions

Submit multiple events in a single request. Use this for batch processing, importing historical data, or high-volume integrations. More efficient than calling track_event multiple times.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesArray of events to process (max 100)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden and falls short. For a bulk mutation it says nothing about partial-failure behavior, per-event error reporting, idempotency, auth requirements, or rate limits — the operational facts an agent most needs before submitting 100 events.

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 tight sentences with the core action front-loaded and no redundancy. The trailing documentation link is low value but harmless.

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?

A batch write with no annotations and no output schema needs more than this: the response shape and partial-failure semantics are entirely absent. The max-100 constraint is at least recoverable from the schema.

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 nested array is well documented, including the maxItems=100 cap and the brandId inheritance note. The description adds no parameter detail beyond the schema, so the baseline 3 applies.

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: 'Submit multiple events in a single request,' which is unambiguous about the bulk nature. However, it never distinguishes itself from the near-identical sibling 'loyalteez_create_events_batch', which an agent must choose between.

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?

Gives clear positive contexts (batch processing, historical import, high-volume integrations) and names track_event as the less-efficient alternative. Missing the more important exclusion: why this exists alongside create_events_batch.

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