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kishanssg

vexo-mcp

by kishanssg

vexo_get_sessions

Read-only

Summarize recent app sessions grouped by entity to distinguish bailed out sessions from event-poor ones.

Instructions

Summarize the most recent app sessions, grouped by an entity. Use to tell a "bailed out" session (short, few screens) apart from an "event-poor" session (normal length but missing data events).

By default scans the configured lookback window (default 30 days) ending now; pass start_date/end_date to override. Groups events by sessionId, then returns the N most recent sessions per group value (most recent first).

Inputs: group_by: OPTIONAL entity dimension (defaults to server group key, else "deviceId"), e.g. "worker_id". filter_values: OPTIONAL list restricting group_by to these values. Max 200. filters: OPTIONAL extra key/value constraints. n_sessions_per_group: default 20, max 50. start_date, end_date: OPTIONAL ISO dates to override the lookback window.

Returns: { window, group_by, rows:[{group?, session_id, start, end, duration_s, screen_count, event_count, last_screen}], truncated, total_count? }. screen_count = # of screen_view events. On failure: { error }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_byNo
filter_valuesNo
filtersNo
n_sessions_per_groupNo
start_dateNo
end_dateNo
Behavior5/5

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

Annotations provide readOnlyHint=true and openWorldHint=true, and the description adds significant behavioral details: grouping by sessionId, returning N most recent per group, max limits, and the return structure including failure case. This adds substantial value beyond annotations.

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 well-structured with bullet points for inputs and return fields, making it easy to parse. While it is detailed, every sentence adds value, though it could be slightly more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (6 params, no output schema), the description fully covers inputs, return format, usage context, and failure handling. It is complete and provides all necessary information for an agent to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description explicitly documents all six parameters with defaults, constraints, and examples (e.g., group_by defaults to server group key, n_sessions_per_group defaults to 20, max 50). This fully compensates for the missing schema descriptions.

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 it summarizes recent app sessions grouped by an entity, distinguishing between 'bailed out' and 'event-poor' sessions. It uses specific verbs and differentiates from sibling tools like vexo_count_events and vexo_get_recent_events.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use it (to tell session types apart) and mentions default lookback window and optional date override. However, it does not explicitly list when not to use it or compare to 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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