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get_mobile_analytics

Read-onlyIdempotent

Retrieve mobile app usage analytics including session counts, active user numbers, and popular applet data for a specified period.

Instructions

Get mobile app usage analytics — sessions, active users, popular applets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoAnalysis period in days (default 30)
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, covering safety and idempotency. The description adds only the type of data returned (sessions, active users, popular applets), but does not disclose any behavioral traits beyond annotations, such as potential performance impact or data freshness constraints.

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?

The description is a single, focused sentence front-loaded with the tool's purpose. Every word adds value; no extraneous information.

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?

Given the tool's simplicity (one optional parameter, no output schema, read-only with annotations), the description adequately specifies what data is returned. It provides sufficient context for a straightforward analytics retrieval tool, though it could mention what 'popular applets' means.

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 coverage is 100%, with the 'days' parameter described as 'Analysis period in days (default 30)'. The description repeats the same information without adding new semantic context, so it meets the baseline but does not improve understanding beyond the schema.

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

Purpose5/5

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

The description 'Get mobile app usage analytics — sessions, active users, popular applets' uses a specific verb ('Get') and names the resource ('mobile app usage analytics') with concrete data types. It is clearly differentiated from sibling tools like 'get_mobile_app_config' which retrieve configuration data.

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 description implies usage for retrieving mobile analytics data but does not explicitly state when to use this tool versus alternatives (e.g., other analytics tools). No when-not-to-use or alternative tools are mentioned, leaving the agent to infer usage context.

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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