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ttpears

GitLab MCP Server

by ttpears

Group Activity Summary

analytics_group_summary
Read-onlyIdempotent

Aggregate activity summary for a GitLab group – totals by action type (pushes, MRs, comments, approvals) and breakdowns by project, contributor, and day. Quickly understand team activity without querying individual projects.

Instructions

Aggregated activity summary for an entire group (optionally including subgroups) over a time window — totals by action type (pushes, MRs opened/merged, comments, approvals), with breakdowns by project, by contributor, and by day. Use this to answer "what did this team do" without fanning out across list_project_events yourself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYesGroup full path (e.g. "my-group" or "my-group/sub-group")
sinceYesISO date/datetime, inclusive lower bound (e.g. "2026-04-01" or "2026-04-01T00:00:00Z")
untilNoISO date/datetime, inclusive upper bound. Defaults to now.
includeSubgroupsNoRecurse into subgroup projects. Defaults to true.
topContributorsNoCap on the byUser[] list (sorted by event count desc). Default 10.
maxEventsNoGlobal cap on events fetched across all projects. Defaults to 2000; envelope flags truncated:true if reached.
maxProjectsNoCap on projects scanned. Defaults to 500.
userCredentialsNoYour GitLab credentials (optional — falls back to the configured env token if not provided)
Behavior5/5

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

Annotations already indicate read-only, non-destructive, idempotent. Description adds aggregation behavior, optional subgroup inclusion, truncation flag, and defaults. No contradictions.

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?

Single concise sentence followed by a usage statement. No unnecessary words; front-loaded with key 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?

Covers overall behavior and output structure (breakdowns, truncation) despite no output schema. Minor gap: exact output format not described, but sufficient for understanding.

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% with detailed parameter descriptions. The tool description adds little parameter-level detail beyond schema, meeting the baseline but not exceeding it.

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?

Clearly states it provides an aggregated activity summary for a group with breakdowns by action type, project, contributor, and day. Distinguishes itself from list_project_events by noting it avoids fan-out.

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 advises using this tool to answer 'what did this team do' instead of manually calling list_project_events, providing a clear alternative and context.

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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