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sheepit-ai

sheepit-mcp

Official
by sheepit-ai

Create a user group

group_create

Create user groups in projects to manage feature flags and access control. Assign members and reference groups in flag rules for targeted rollouts or kill-switches.

Instructions

Create a new user group in the current project. Group keys are snake_case slugs unique per project. After creating, add members with group_add_member, then reference the group from a flag rule via {field: 'user_group', op: 'in', values: ['<key>']}. Example use cases: 'dogfooders' (early testers see new dashboards), 'beta_users' (cohort of opted-in feature testers), 'internal' (team members + advisors), 'banned' (denylist for kill-switches).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYes
nameYes
descriptionNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains that keys are snake_case and unique per project, and outlines the creation process. However, it does not disclose potential behavioral traits like mutation, idempotency, or failure scenarios.

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 with no wasted words. It front-loads the purpose and efficiently covers creation steps, key format, and example use cases.

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 simplicity (3 parameters, no output schema, no nested objects) and the context of sibling tools, the description provides adequate completeness by linking to follow-up actions and giving examples. It could add more detail on parameter behavior but is sufficient.

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 0%, so the description must compensate. It adds meaning for 'key' (snake_case, unique per project) but does not elaborate on 'name' or 'description' beyond the schema constraints, missing an opportunity to clarify their purpose.

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 user group in the current project.' It specifies the action (create) and resource (user group). It also distinguishes from sibling tools like group_add_member by describing the creation step separately.

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 when to use the tool: to create a group, then add members with group_add_member, then reference in flag rules. It gives example use cases. However, it does not explicitly state when not to use it or 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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