Skip to main content
Glama
khoa-na

antigravity-mcp

by khoa-na

ask-antigravity

Delegate coding tasks to a Gemini-powered agent that reads, writes, and executes commands in your repository to implement features, fix bugs, and run tests.

Instructions

Ask the Google Antigravity AGENT (Gemini 3.8 Flash / Pro) — a coding agent WITH file tools (Read/Write/Bash), like a second Claude Code / Codex.

By default it works in the current directory (process workspace), so it can read and run your repo like Codex. Supports parallel multi-agent swarm execution and one-click session resume.

Parameters:

  • prompt: The task/code instruction.

  • resume: If True, automatically continues the most recent conversation session (--continue) without needing an ID.

  • prompt_file: Absolute path to a file containing the prompt (wins over prompt).

  • model: Model ID (default: gemini-3.8-flash-high, or gemini-3.1-pro-high, etc.).

  • system: Optional system instructions.

  • system_file: Absolute path to a file containing system instructions.

  • workspace: Directory granted to the agent via --add-dir (read+write). Default: current directory. Pass 'none' for isolated temp dir.

  • conversation_id: Resume/continue an existing session by conversation ID.

  • effort: Reasoning effort (low, medium, high).

  • cleanup: If true, delete prompt_file / system_file after execution.

  • save_artifact: If true, always saves response to an artifact file in .antigravity/artifacts/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNo
effortNo
promptNo
resumeNo
systemNo
cleanupNo
workspaceNo
prompt_fileNo
system_fileNo
save_artifactNo
conversation_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations, the description fully carries the behavioral disclosure burden. It reveals that the agent has file tools, that workspace grants read+write access, that prompt_file wins over prompt, that cleanup deletes the prompt/system files, and that save_artifact always writes an artifact. These are meaningful behavioral traits that directly inform safe invocation.

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 a one-sentence purpose, followed by a brief behavior paragraph and a clean parameter list. Every line adds operational value with no filler, making it appropriately sized for an 11-parameter tool.

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?

Given the tool's complexityed—11 parameters, file-wielding agent, potential workspace modifications—the description covers defaults, workspace semantics, resume mechanics, cleanup, artifact saving, and model options. Since an output schema exists, return-value details are unnecessary. Nothing critical is missing for an agent to invoke it correctly.

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

Parameters5/5

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

Schema description coverage is 0%, but the description supplies a semantic gloss for every single parameter, including precedence rules, special values like workspace='none', default behaviors, and side effects. This fully compensates for the schema's lack of descriptions.

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 opens with a specific verb and resource: 'Ask the Google Antigravity AGENT (Gemini 3.8 Flash / Pro)' and clearly characterizes it as a coding agent with Read/Write/Bash tools, comparable to Claude Code or Codex. This makes the tool's identity and scope immediately distinguishable from a generic ask-gemini sibling.

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 gives clear context for when to use the tool: 'By default it works in the current directory... so it can read and run your repo like Codex,' and highlights distinguishing features like parallel swarm execution and one-click resume. It stops short of explicitly naming alternatives or when not to use it, so it lacks full exclusionary routing.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/khoa-na/antigravity-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server