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set_epic_iteration

Associate an iteration (sprint) with a GitLab epic, with a dry-run mode to preview changes before execution.

Instructions

Associate an iteration (sprint) with an epic (uses Work Items API). dry_run=true by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_idYesID ou chemin URL du groupe GitLab (ex: '42' ou 'wanadev/kp1'). Si vous n'avez que le nom, appelez d'abord list_groups pour trouver le chemin exact.
epic_iidYesEpic IID
iteration_idYesIteration ID (null to remove)
dry_runNoDry run mode (default: true). When true, returns a preview of the action without executing it. Set to false only after user confirmation.
Behavior3/5

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

The description adds value beyond annotations by noting the dry_run default behavior and the use of Work Items API. However, it does not disclose potential side effects, reversibility, or permission requirements. It does not contradict 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 extremely concise: two short sentences that front-load the core action. No unnecessary words or redundancy.

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

Completeness2/5

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

Given that this is a mutation tool with no output schema and minimal annotations, the description lacks details on prerequisites (e.g., obtaining iteration_id via list_iterations), return values, or permission needs. Additional context would be beneficial for an agent to use it correctly.

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%, so parameters are well-documented in the schema. The description merely repeats the default for dry_run and mentions the API, adding no additional semantic meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: associating an iteration with an epic, and mentions the API used. It differentiates from siblings like 'create_iteration' or 'update_epic', but doesn't explicitly distinguish from 'set_epic_milestone' or 'add_issue_to_epic'. However, the core action is well-defined.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives such as 'update_epic' or 'set_epic_milestone'. The description implies usage through the action, but lacks direct when-to-use or when-not-to-use advice.

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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