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gitlab_list_schedules

Read-onlyIdempotent

List all CI/CD schedules of a GitLab project, showing schedule details and masking secret variable values.

Instructions

List all CI/CD schedules of a project.

Variable keys whose name hints at a secret (TOKEN, PASSWORD, SECRET, CREDENTIAL, PRIVATE_KEY, API_KEY) keep the key but have the value replaced by *** so the agent still sees which variables exist.

Examples: - "What schedules do we have and are they all active" → default call - Don't use to run a schedule now — use gitlab_trigger_pipeline with the schedule's variables instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathNoGitLab project path (e.g. 'my-org/my-repo'). When omitted, the default from GITLAB_PROJECT_PATH env var is used.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
schedules_countYes
active_countYes
schedulesYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds behavioral context about variable masking: 'Variable keys whose name hints at a secret... keep the key but have the value replaced by `***`,' which is useful 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the main purpose, followed by essential behavioral info (variable masking) and a clear usage example. It is concise with no unnecessary words, every sentence adds value.

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?

The description covers tool purpose, secret handling, and usage boundaries. An output schema exists (signal true), so return value details are not needed. Annotations cover safety. The description is complete for the tool's complexity.

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 a description for the single parameter project_path that includes default behavior via env var. The tool description does not add extra parameter meaning beyond what the schema provides, so baseline 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 'List all CI/CD schedules of a project,' using a specific verb and resource. It distinguishes from siblings like gitlab_create_schedule and explicitly contrasts with gitlab_trigger_pipeline.

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?

The description provides explicit when-to-use guidance via an example and a don't-use scenario: 'Don't use to *run* a schedule now — use `gitlab_trigger_pipeline` with the schedule's variables instead.' This clearly states 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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