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get_mobile_analytics

Retrieve mobile app usage analytics including sessions, active users, and popular applets from ServiceNow to monitor performance and adoption trends.

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?

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Get' implies a read-only operation, the description doesn't specify permissions required, rate limits, data freshness, or return format. It mentions what analytics are available but not how they're structured or delivered.

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 extremely concise - a single sentence that efficiently communicates the core purpose and scope. Every word earns its place, with no redundant information or unnecessary elaboration.

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 read-only analytics tool with no annotations and no output schema, the description is insufficient. It doesn't explain what format the analytics come in (aggregated data, time series, etc.), whether results are paginated, or what permissions are required. The single-sentence description leaves too many operational questions unanswered.

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 the schema already fully documents the single parameter (days with default value). The description doesn't add any parameter-specific information beyond what's in the schema, maintaining the baseline score of 3 for adequate coverage through structured data alone.

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 tool's purpose with a specific verb ('Get') and resource ('mobile app usage analytics'), and lists the types of analytics returned (sessions, active users, popular applets). It distinguishes itself from other analytics tools by focusing on mobile-specific data, but doesn't explicitly differentiate from all sibling tools.

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. With many sibling tools available (including other analytics tools like get_performance_analytics, get_devops_insights, etc.), there's no indication of when mobile analytics specifically are needed or what distinguishes this from general analytics tools.

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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