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umeng-openapi-mcp-server

by devhuang0714

U-App get retentions

umeng_uapp_get_retentions

Retrieve retention statistics for new or active users by date range, with optional channel and version filters.

Instructions

Get retention statistics for new or active users. Official API: umeng.uapp.getRetentions.

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 period: daily, weekly, monthly, 7day, or 30day when supported by the API.daily
channelNoOptional channel filter. Pass one channel only.
versionNoOptional app version filter. Pass one version only.
typeNoRetention type: newUser or activeUser. Defaults to newUser.
Behavior2/5

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

No annotations provided, so the description carries full burden. It only states the purpose and API name, without disclosing behaviors like data availability, permissions, or side effects. A read operation like this typically has no destructive actions, but the description fails to confirm that.

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, short sentence that includes the official API name. It is concise and front-loaded, though perhaps too brief.

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?

Given 7 parameters and no output schema, the description is minimal. It lacks details on return format, data interpretation, or behavior. For a tool with many siblings, more context (e.g., aggregation behavior) would improve completeness.

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 documents all parameters. The description adds no extra meaning beyond what the schema provides. Baseline 3 is appropriate.

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 clearly states 'Get retention statistics for new or active users', using a specific verb and resource. It distinguishes from siblings like umeng_uapp_get_launches by focusing on retention.

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?

No explicit guidance on when to use vs alternatives. The tool name and description imply use for retention stats, but there is no mention of when not to use or comparison with similar tools like umeng_get_active_users.

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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