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create_issue

Create a new issue in a GitLab project with a dry-run mode to preview changes before confirming.

Instructions

Creer une nouvelle issue dans un projet. Par defaut dry_run=true : retourne un apercu sans creer. Passer dry_run=false apres confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesID du projet
titleYesTitre de l'issue
descriptionNoDescription (Markdown)
labelsNoLabels (separes par virgule)
milestone_idNoID du milestone
assignee_idsNoIDs des assignees
due_dateNoDate d'echeance (YYYY-MM-DD)
weightNoPoids de l'issue
epic_idNoID global de l'epic a rattacher
iteration_idNoID de l'iteration (sprint) a associer
dry_runNoDry run mode (default: true). When true, returns a preview of the action without executing it. Set to false only after user confirmation.
Behavior4/5

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

Annotations only indicate readOnlyHint=false. The description accurately discloses that the tool creates an issue (mutation) and explains the dry_run safety mechanism. It does not cover other behavioral details like required permissions, but for a create tool, this is adequate.

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 concise (two sentences), front-loads the purpose, and includes essential usage guidance without extraneous words.

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?

Given the tool's complexity (11 parameters, no output schema), the description covers the key behavioral aspects. It explains the dry_run workflow. However, it does not describe the return format of the preview, which would be helpful for completeness.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for each parameter. The description adds value by explaining the dry_run parameter's default and intended use (preview before creation), which goes beyond the schema description.

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 'Create a new issue in a project', which is a specific verb and resource. It distinguishes from sibling tools like update_issue, close_issue, etc., and adds detail about the dry_run default behavior.

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 provides explicit usage instructions: default dry_run=true for preview, then set dry_run=false after confirmation. It does not explicitly mention when not to use this tool versus alternatives, but the pattern is clear and sufficient.

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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