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Delegate to Antigravity

delegate_to_antigravity

Send a task to the Google Antigravity desktop app and return its reply. Drives the app's chat UI to submit and read responses.

Instructions

Send a task to the Google Antigravity desktop app and return its reply. Drives the real, already-logged-in app UI (types into its chat box and reads the response) — does not touch Antigravity's internals or credentials. Requires Antigravity.app to be installed and signed in on this machine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe task, question, or instruction to send to Antigravity.
modelNoWhich model Antigravity should use. If omitted, uses whatever model is currently selected in the app. Gemini 3.5 Flash ($1.50/$9 per 1M in/out) — fastest and cheapest of the group; strong coding/agentic benchmarks. Good default for quick, well-scoped tasks. Gemini 3.1 Pro ($2/$12) — adds a "thinking" mode for harder reasoning (ARC-AGI-2 ~77%); costlier for long (>200K token) context. Claude Sonnet 4.6 ($3/$15) — best-regarded for coding quality, computer-use, and multi-step agent workflows (SWE-bench ~80%). Claude Opus 4.6 ($5/$25, higher in fast mode) — strongest at complex, ambiguous, multi-step reasoning; the pick for legal/financial/research-grade analysis. GPT-OSS 120B (~$0.03-0.09/$0.10-0.40 — far cheaper than the rest) — open-weight, near-o4-mini reasoning, solid coding/tool-use. Good for high-volume or low-stakes tasks. Gemini models and Claude+GPT models draw from SEPARATE Antigravity quota pools — call getAntigravityQuota() first if unsure which pool has room.
timeoutMsNoMax time to wait for a reply, in milliseconds. Default 120000 (2 minutes).
Behavior3/5

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

With no annotations, the description must disclose behaviors. It clarifies that it drives the UI (not internals) and requires installation/login. However, it does not mention error behaviors, timeouts, or whether the operation is safe/idempotent. Adequate but leaves gaps.

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 very concise: two sentences plus a short requirement statement. No filler, every sentence adds essential information.

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 has 3 parameters, no output schema, and one sibling, the description is largely complete. It covers the tool's function, prerequisites, and how it differs from the sibling. However, it does not specify the format of the reply (e.g., plain text, JSON), which would be helpful.

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%, so the description adds marginal value beyond the schema. The main description does not elaborate on parameters beyond what is in the schema. Baseline score of 3 is appropriate.

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 it sends a task to the Antigravity app and returns the reply. It specifies it drives the UI (types into chat box, reads response), distinguishing it from the sibling tool get_antigravity_quota, which only checks quota.

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 explains when to use the tool (to send a task) and mentions prerequisites (app installed and signed in). It does not explicitly list when not to use it, but the sibling tool context and the model parameter's reference to getAntigravityQuota() provide adequate guidance.

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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