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beta_groups_beta_tester_usages_get_metrics

Get usage metrics for beta testers in a beta group, including period, grouping, and filtering, to monitor TestFlight participation.

Instructions

GET /v1/betaGroups/{id}/metrics/betaTesterUsages (GET /v1/betaGroups/{id}/metrics/betaTesterUsages)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesthe id of the requested resource
limitNomaximum number of groups to return per page
periodNothe duration of the reporting period
groupByNothe dimension by which to group the results
filter_betaTestersNofilter by 'betaTesters' relationship dimension

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

D1.7/5.0
Behavior1/5

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 discloses nothing beyond the bare 'GET'. It does not say whether the endpoint is read-only in effect, what the metric aggregation means, permission requirements, or any pagination behavior for the limit parameter.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but entirely redundant: the same path string appears twice with no added information, so the single sentence does not earn its place and there is no front-loaded purpose statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

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

This is a 5-parameter metrics endpoint with no output schema and no annotations, so the description must explain what is measured and returned. Instead it is a path echo, leaving an agent unable to determine what calling it produces or how results are grouped.

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% with each parameter documented (id, limit, period enum, groupBy, filter_betaTesters), so the schema already does the heavy lifting. The description adds no parameter meaning whatsoever, which is the baseline-3 case when structured fields cover the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is nothing more than the HTTP path repeated twice in parentheses. It names a resource (betaGroups betaTesterUsages metrics) but provides no verb, scope, or explanation of what the metric actually represents, so an agent learns only what the tool name already told it.

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

Usage Guidelines1/5

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

There is no indication of when to use this tool versus the many sibling metric tools (e.g. beta_groups_public_link_usages_get_metrics, builds_beta_build_usages_get_metrics, beta_testers_beta_tester_usages_get_metrics), nor any prerequisites or 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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