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haydermuhib

Antigravity MCP Orchestrator

by haydermuhib

create_workspace_skill

Scaffold an Antigravity Customization System skill by generating SKILL.md with YAML frontmatter, then place it in workspace or global scope.

Instructions

Scaffolds a new Antigravity skill adhering to the Antigravity Customization System (creates SKILL.md with YAML frontmatter).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSkill name in lowercase hyphenated format (e.g. 'deploy-preview', 'fastapi-scaffold').
scopeNoTarget scope. 'workspace' puts it in .agents/skills/<name>, 'global' in ~/.gemini/config/skills/<name>.workspace
descriptionYesWhen the agent should use this skill. Written in third-person.
instructionsYesMarkdown instructions, procedures, and runbook steps for the skill.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It usefully names the created artifact (SKILL.md with YAML frontmatter), but says nothing about overwrite/conflict behavior if the skill exists, required permissions, or any destructive side effects of a create operation.

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?

A single tight sentence with the key action and artifact front-loaded. No wasted words, though the parenthetical is the only extra detail provided.

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?

For a 4-parameter mutation tool with no annotations and no output schema, the description is thin. It omits failure modes, overwrite behavior, and scope-dependent prerequisites, leaving meaningful gaps an agent would need before invoking 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 description coverage is 100% and each parameter (name, scope, description, instructions) is well documented in the schema itself. The description adds essentially no parameter detail beyond what is already structured, so baseline 3 applies.

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?

States a specific verb ('Scaffolds') and resource ('new Antigravity skill') with a concrete artifact ('SKILL.md with YAML frontmatter'). It is clearly distinguishable from read siblings like list_skills and get_skill, though it does not explicitly contrast with create_workspace_rule.

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?

Provides no when-to-use guidance, no prerequisites (e.g., whether an active workspace is needed for the 'workspace' scope), and no mention of alternatives among the sibling tools. The agent must infer all usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.