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haydermuhib

Antigravity MCP Orchestrator

by haydermuhib

orchestrate_agent_workflow

Builds an end-to-end execution blueprint for a task by identifying required Antigravity skills, rules, and steps, with optional UI aesthetic guidance.

Instructions

Formulates an end-to-end execution blueprint for a task by identifying required Antigravity skills, applicable rules, and steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe user's objective or feature request.
preferred_aestheticNoOptional UI/design aesthetic if building frontend (e.g. 'bento', 'neobrutalism', 'glassmorphism', 'minimal').

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?

With no annotations, the description carries the full disclosure burden. It says the tool 'formulates' a blueprint but is ambiguous about whether it plans or actually executes ('orchestrate' in the name implies action), and it discloses nothing about permissions, side effects, or reversibility. For a tool with an execution-sounding name and zero annotation coverage, this is a notable gap.

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 front-loaded sentence with no filler. It is efficient, though the closing 'and steps' is slightly redundant given the blueprint framing.

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?

There is no output schema, so the description should indicate what the blueprint looks like when returned, and it does not. Combined with absent annotations and ambiguity about whether it executes anything, the definition leaves important gaps for an apparently complex planning tool.

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 both parameters (task, preferred_aesthetic) are already documented in the schema. The description adds no parameter-level meaning beyond that, so the baseline of 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 ('Formulates') and a concrete deliverable ('end-to-end execution blueprint'), and enumerates what the blueprint contains (skills, rules, steps). It is distinguishable from the CRUD/list siblings like list_skills or list_rules, though it never explicitly contrasts itself with them.

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?

There is no when-to-use guidance, no prerequisite conditions, and no alternatives named. An agent must infer that this is a planning entry point rather than a lookup, and nothing tells it when to prefer this over list_skills/search_skills.

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