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kpi_mau

Retrieve monthly active users (MAU) over time for a Braze app to track engagement trends and measure KPI changes across a chosen date range.

Instructions

Get monthly active users (MAU) over time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyNoBraze REST API key
app_idNo
lengthYesNumber of days
ending_atNo
restEndpointNoBraze REST endpoint URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden but only implies a read operation via 'Get'. It does not disclose authentication requirements despite an apiKey parameter, rate limits, time granularity, or pagination behavior.

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?

The description is a single front-loaded sentence with no wasted words. It is appropriately concise, though the brevity contributes to gaps captured in other dimensions.

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?

For a tool with five parameters, no annotations, and no output schema, the description is too sparse. It does not explain undocumented parameters, usage context, or behavioral details an agent would need to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 60%, leaving app_id and ending_at undocumented. The description adds no parameter meaning beyond what the schema already provides, and does not compensate for the coverage gap.

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 ('Get'), resource ('monthly active users (MAU)'), and temporal scope ('over time'). It implicitly distinguishes itself from sibling kpi_dau by using 'monthly' versus 'daily', but it does not explicitly name or contrast with any alternative.

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?

The description provides no guidance on when to use this tool versus alternatives such as kpi_dau, kpi_new_users, or kpi_uninstalls. It also omits prerequisites or conditions for selecting this metric.

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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