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ttpears

GitLab MCP Server

by ttpears

User Activity Summary

analytics_user_summary
Read-onlyIdempotent

Get aggregated activity counts by action type, project, and day for a GitLab user over a specified time window. Ideal for summaries instead of raw event feeds.

Instructions

Aggregated activity summary for a user over a time window — totals by action type (pushes, MRs opened/merged, comments, approvals), breakdown by project and by day. Use this instead of list_user_events when you want counts rather than a raw event feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesUsername (e.g. "alice") or numeric user ID
sinceYesISO date/datetime, inclusive lower bound (e.g. "2026-03-01" or "2026-03-01T00:00:00Z")
untilNoISO date/datetime, inclusive upper bound. Defaults to now.
maxEventsNoCap on events fetched. Defaults to 2000; returned envelope has truncated:true if reached.
userCredentialsNoYour GitLab credentials (optional — falls back to the configured env token if not provided)
Behavior4/5

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

Annotations already declare read-only, non-destructive, idempotent. Description adds that it returns totals and breakdowns, which is useful context beyond annotations, but does not cover potential rate limits or pagination behavior.

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?

Two concise sentences, front-loading the purpose and usage guidance, with no extraneous information.

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

Completeness4/5

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

Tool has no output schema, but description explains the output structure (totals by action type, project, day). It covers necessary context for a read-only aggregation tool, though more detail on output format could be added.

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 coverage is 100%. Description does not add new parameter details beyond what the schema provides; baseline score of 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 it provides aggregated activity summary for a user with specific breakdowns (by action type, project, day) and explicitly distinguishes from sibling tool list_user_events.

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

Usage Guidelines5/5

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

Explicitly recommends using this tool instead of list_user_events when counts are needed rather than raw events, providing clear guidance on when to use.

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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