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Aptabase MCP Server

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by aptabase

get_historical_sessions

Retrieve historical session records for an app over a time range, with optional filters for OS, version, country, and event name to analyze user engagement.

Instructions

Historical sessions for an app over a period, with optional filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesAptabase app id (from list_apps)
osNameNoFilter by OS name (e.g. iOS, Android, macOS)
periodNoDashboard period preset. Prefer this over startDate/endDate. Defaults to 24h for stats tools when neither period nor dates are set.
endDateNoISO end datetime (use with startDate if not using period)
buildModeNoRelease or debug build mode (debug queries appId_DEBUG)release
eventNameNoFilter by event name
sessionIdNoOptional session id to narrow results
startDateNoISO start datetime (use with endDate if not using period)
appVersionNoFilter by app version
countryCodeNoFilter by ISO country code
deviceModelNoFilter by device model
granularityNoOverride bucket size; auto-derived from period/range when omitted
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose return structure, default period behavior, pagination, or any side effects. The phrase 'with optional filters' hints at customization but adds no concrete behavioral detail.

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, concise sentence with no redundant words. It is front-loaded and easy to parse, though it is brief to the point of under-specification.

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?

With 12 parameters, multiple enum-based period presets, and no output schema, the description is far from complete. It omits critical context like what the returned sessions look like, how filters combine, or the default period behavior, which is particularly informative in the schema.

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 each parameter already has a description. The tool description only mentions 'optional filters' without adding meaning to specific parameters, thus it does not go beyond the baseline.

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 states it provides 'Historical sessions for an app over a period,' which clearly indicates it retrieves past session data. It differentiates from siblings like get_live_sessions by the 'Historical' qualifier, though it lacks an explicit verb like 'get' or 'retrieve'.

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?

There is no guidance on when to use this tool versus alternatives such as get_session_details or get_live_sessions. The description simply states what it does without any contextual cues 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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