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ilativity
by ilativity

Excessive wakeup rate

excessive_wakeup_rate
Read-onlyIdempotent

Fetch daily excessive wakeup rates from Android vitals for an app, with 7-day and 28-day user-weighted values and optional filters by version, API level, device, or country.

Instructions

Daily excessive wakeup rate from Android vitals (Play Developer Reporting API), including 7- and 28-day user-weighted values. Rates are fractions (0.01 = 1%).

Input Schema

NameRequiredDescriptionDefault
daysNoHow many days back from the latest available data (default 28).
filterNoReporting API filter, e.g. "versionCode = 123".
dimensionsNoBreak down by dimensions, e.g. versionCode, apiLevel, deviceModel, countryCode.
package_nameNoAndroid package name. Defaults to PLAY_MCP_PACKAGE.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds valuable context beyond that: it discloses that rates are fractions (0.01 = 1%) and that the tool includes 7- and 28-day user-weighted values, which is important given there is no output schema.

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?

Two tightly written sentences front-load the metric and source, then immediately clarify the output format. There is no redundant or wasted phrasing.

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

Completeness4/5

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

The description covers the metric, its source, aggregation windows, and rate format, which is sufficient for a data-retrieval tool with full parameter schema coverage and safety annotations. It does not explain pagination or time-series return shape, but those gaps are minor given the available structured data.

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 all four parameters are fully documented in the schema. The description adds no parameter-specific details (e.g., days, filter, dimensions, package_name), 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 names a specific metric (excessive wakeup rate) and its source (Android vitals), which distinguishes it from sibling vitals tools like crash_rate and anr_rate. However, it lacks an explicit retrieval verb, so it is clear but not maximally sharp.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or contexts. The description only states what the metric is, leaving the agent to infer usage.

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