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devhuang0714

umeng-openapi-mcp-server

by devhuang0714

Get active users trend

umeng_get_active_users

Retrieve active user trend data for a specified date range, showing daily, weekly, monthly, 7-day, or 30-day aggregates to analyze user engagement over time.

Instructions

Get active-user trend data for a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appkeyNoUmeng appkey. If omitted, UMENG_DEFAULT_APPKEY will be used.
startDateYesStart date in YYYY-MM-DD format
endDateYesEnd date in YYYY-MM-DD format
periodTypeNoAggregation perioddaily
Behavior2/5

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

No annotations provided; the description does not disclose any behavioral traits beyond the basic function. Missing details: data freshness, pagination, rate limits, or the structure of the returned trend data. This leaves the agent without critical operational context.

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 a single, front-loaded sentence with no wasted words. However, it is overly terse and could include additional context without sacrificing conciseness. The structure is efficient but under-specified.

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?

No output schema exists, so the description should hint at the return structure (e.g., array of daily active user counts). It does not. Given the complexity of the tool (4 parameters, period types) and lack of annotations, the description is too minimal to be fully complete.

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 description adds minimal value beyond the schema. It provides context that the tool retrieves trend data for a date range, which ties the parameters together, but does not elaborate on each parameter's semantics beyond what the schema already states.

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 action ('Get') and the resource ('active-user trend data') with a date range. It distinguishes from sibling tools that add filtering by channel/version, but could be more specific about what 'trend' means (e.g., aggregated counts per period).

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?

No guidance on when to use this tool versus siblings like umeng_get_active_users_by_channel_or_version. No prerequisites mentioned (e.g., default appkey fallback). The description does not help the agent choose this tool over alternatives.

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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