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agy_interactive_start

Start a persistent interactive Antigravity session for long-running agent tasks. Queues input and releases prompts after detecting completed planner responses, enabling ongoing dialogue.

Instructions

EXPERIMENTAL: start a persistent interactive Antigravity session.

This should not be used often. The bridge queues input and releases one prompt after detecting a completed planner response. This depends on transcript semantics and may deadlock if agy changes response event types. Completed responses do not terminate this session. Use agy_target_send_text for subsequent prompts and agy_cancel to close it. sandbox and additional_directories are CLI policy hints forwarded to Antigravity, not filesystem containment or a bridge security boundary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
workspaceYes
timeout_secondsNo
dangerously_skip_permissionsNo
modelNoGemini 3.5 Flash (Medium)
sandboxNo
additional_directoriesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description carries full burden. It discloses behavioral traits: bridge queues input, depends on transcript semantics, may deadlock if response event types change, completed responses do not terminate session, and clarifies that sandbox/additional_directories are CLI policy hints not security boundaries.

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?

The description is two paragraphs, concise for the complexity, front-loaded with experimental label and purpose. Each sentence adds value, though some details could be more streamlined.

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 complexity (7 params, experimental, interactive session) and existence of output schema (so return values not needed), the description covers purpose, usage, behavioral notes, and some parameter info. It lacks explicit mention of blocking behavior or return format, but output schema handles that.

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 description must compensate. It adds meaning for 'sandbox' and 'additional_directories' by explaining they are policy hints, not containment. However, other parameters like timeout_seconds and dangerously_skip_permissions are not explained, so compensation is partial.

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 'start a persistent interactive Antigravity session', specifying a specific verb and resource. It distinguishes from siblings by noting that agy_target_send_text is used for subsequent prompts and agy_cancel to close the session, making the purpose clear.

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

Usage Guidelines5/5

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

The description explicitly advises 'This should not be used often', mentions alternatives (agy_target_send_text for subsequent prompts, agy_cancel to close it), and warns about potential deadlock, providing clear when-to-use and when-not-to-use 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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