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users_track

Update Braze user attributes, log custom events, and record purchases to maintain accurate profiles and activity data.

Instructions

Track user data including attributes, custom events, and purchases. Use this to update user profiles, log events, and record purchases in Braze.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyNoBraze REST API key (optional if set via env/header)
eventsNoCustom events to log
purchasesNoPurchase events to record
attributesNoUser attributes to update (max 75)
restEndpointNoBraze REST endpoint URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it does not disclose that this is a write/mutation operation, whether it is idempotent, batch-size limits, required permissions, or how the three payload arrays interact. It merely restates the purpose, leaving behavioral traits largely undocumented.

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 with no filler, and the resource scope is front-loaded ahead of the task list. 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.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a multi-array mutation tool with zero annotations, no output schema, and no required parameters. The description omits prerequisites (API key/config), the fact that all three payload arrays are optional and combinable, and any notion of the response or failure behavior, leaving an agent under-informed for a write operation.

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 five parameters (including the 'max 75' attributes note and required sub-fields). The description names the three payload categories but adds no syntax or format meaning beyond what the schema provides, so the baseline of 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?

The description states a specific verb+resource ('Track user data') and enumerates the three payload types (attributes, custom events, purchases), which an agent can map to the tool's arrays. However, it does not distinguish this from sibling identity/mutation tools such as users_identify, users_merge, or users_alias_update, so sibling differentiation is absent.

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?

It gives implied usage ('update user profiles, log events, and record purchases'), which is enough to know the general intent. But there is no when-to-use vs alternatives guidance, no mention of when to prefer users_identify or users_alias_new, and no exclusions.

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

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