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pavellunev99

appmetrica-mcp

by pavellunev99

get_drilldown

Retrieve drilldown statistics for a parent dimension value in AppMetrica to analyze hierarchical data with specified metrics.

Instructions

Retrieve drilldown statistics for a specific parent dimension value in AppMetrica. Useful for hierarchical data exploration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYesAppMetrica application ID
parent_idYesParent dimension value ID for drilldown
metricsYesMetric keys to retrieve
date_fromYesStart date in YYYY-MM-DD format
date_toYesEnd date in YYYY-MM-DD format
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only implies a read operation ('Retrieve') without mentioning any behavioral traits such as permissions, idempotency, rate limits, or data scope.

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 two sentences with no extraneous words. The first sentence front-loads the action and resource, making it efficient.

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?

The tool has five required parameters and no output schema. The description fails to explain the return format, pagination, or error scenarios, leaving the agent underinformed about the tool's complete behavior.

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?

All five parameters have descriptions in the input schema (100% coverage), so the description adds little beyond stating the overall purpose. The baseline of 3 is appropriate as the schema handles parameter semantics adequately.

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 clearly states the verb 'Retrieve' and the resource 'drilldown statistics for a specific parent dimension value in AppMetrica', distinguishing it from sibling tools like list_applications or get_report. However, it does not explicitly differentiate from other data retrieval tools.

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?

The phrase 'Useful for hierarchical data exploration' provides implied usage context, but there is no explicit guidance on when to use this versus alternatives, 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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