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sync_project_to_gemini

Push a project status report and architectural summary into shared memory so another AI can review the current project state and next steps.

Instructions

Called by Antigravity to push a complete project status report and architectural summary into the shared bridge memory. Gemini Spark can read this anytime to understand your exact project state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNo
summaryYes
key_filesNo
tech_stackNo
project_nameYes
next_milestoneNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

No annotations are present, so the description carries the burden. It does disclose the core side effect (pushing data into shared bridge memory) and indicates a sync-like write, but it does not clarify overwrite semantics, idempotency, persistence, or access requirements.

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?

Two sentences with no filler. The core purpose and consumer are stated upfront, making it easy to scan.

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?

While the output schema reduces the need to document return values, the description still lacks parameter-level guidance and usage conditions for a 6-parameter mutation with no input schema descriptions. It is not complete enough for an agent to invoke confidently in varied situations.

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

Parameters2/5

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

Input schema has no descriptions (0% coverage), and the description does not explain the parameters. Most names are self-explanatory, but 'source' is ambiguous and there is no guidance on how key_files, tech_stack, next_milestone, or summary should be formatted or used.

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?

Description clearly states the action ('push') and the object ('complete project status report and architectural summary into the shared bridge memory'), and identifies the intended consumer ('Gemini Spark'). It is easy to distinguish from most siblings, though it does not explicitly name any alternative tool.

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?

No explicit when-to-use guidance or contrast with sibling tools such as send_spark_to_antigravity_task or get_bridge_history. The phrase 'Called by Antigravity' gives some context but does not tell an agent when to choose this over alternatives.

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