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Gitlab Ingest Projects

gitlab_ingest_projects

Ingest GitLab projects into a knowledge graph as typed Project nodes, including their GitLab group and partOfGroup links, using optional project filters.

Instructions

Natively ingest GitLab projects into epistemic-graph as typed :Project nodes.

Lists projects via the GitLab API and pushes them (with their :GitLabGroup + :partOfGroup links) into the knowledge graph via the fast engine client. Native-ingestion failures propagate to the caller. CONCEPT:AU-KG.ingest.enterprise-source-extractor.

Input Schema

NameRequiredDescriptionDefault
params_jsonNoJSON string of get_projects filters (e.g. membership, per_page).{}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv27.3.13

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose useful behavior: a graph write, associated :GitLabGroup and :partOfGroup links, and that failures propagate to the caller rather than being swallowed. It omits critical traits for an ingest operation such as idempotency/duplicate handling, how many projects are pulled (pagination), and required GitLab or graph permissions.

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?

Three short sentences, each carrying content, with the destination front-loaded. The trailing 'CONCEPT:AU-KG.ingest.enterprise-source-extractor.' tag is internal taxonomy noise that adds nothing for an agent.

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

Completeness3/5

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

For a write/ingest tool with no annotations and no output schema, the definition covers the core flow and failure propagation but leaves the agent guessing about scope (all projects? filtered only?), duplicate/re-run behavior, and what the result contains. Adequate but with clear gaps.

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% and the single parameter is documented there as a JSON string of get_projects filters. The description adds no formatting, escaping, or default-behavior detail beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource ('ingest GitLab projects'), the destination ('epistemic-graph as typed :Project nodes'), and the mechanism ('Lists projects via the GitLab API and pushes them ... via the fast engine client'). This clearly separates it from read-only siblings like gitlab_get_projects and from gitlab_ingest_pipelines.

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?

The ingest framing implies it is the tool for populating the knowledge graph rather than merely reading projects, but the description never explicitly says when to choose it over gitlab_get_projects or the sibling ingest tool. No exclusions, prerequisites, or alternatives are named.

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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