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Create a native plant model

vegetation_create

Author a procedural plant with ngPlant in an empty ngplant project. Use explicit baseRevisionId, bounded template controls and a stable idempotency key. Blender packages GLB/OBJ/STL/blend outputs. Returns a durable job; poll job_get/job_wait and use vegetation_inspect after commit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipeYes
projectIdYes
baseRevisionIdYes
idempotencyKeyYesCaller-chosen key. Replaying it with IDENTICAL input returns the EXISTING job instead of queueing a second one — a restarted driver adopts its own in-flight work rather than duplicating or orphaning it. Vary the key to force a new job. Full semantics: the same key with DIFFERENT input is rejected with IDEMPOTENCY_CONFLICT (never silently replayed, so a stale result cannot be mistaken for a fresh one). A key is recorded only once a job is actually created, so a request rejected beforehand (validation, APPROVAL_REQUIRED, quota) leaves the key unused and free to reuse. A key bound to a job keeps resolving to that job even after it fails or is cancelled — use a NEW key to genuinely retry cancelled work. Keys live 48 hours and are scoped per principal+deployment+operation, which means they SPAN SESSIONS: a plain descriptive key like "hero-final-1024-v1" will collide with your own run from yesterday and be rejected. Include a project id or a timestamp. This scope used to be stated only in the conflict error, i.e. after the round trip it cost — a field build lost two that way, ~34 hours after unrelated work had taken the same names.
generatePreviewNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobYes
dedupedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations give the safety profile (write, non-destructive, non-idempotent, closed-world), and the description adds genuinely new behavior: it returns a durable job rather than a finished asset, Blender packages GLB/OBJ/STL/blend outputs, and idempotency-key replay adopts existing work. The 'stable idempotency key' framing sits slightly at odds with idempotentHint=false, but it reads as scoped idempotency rather than a contradiction.

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?

Three tight sentences, purpose front-loaded, each sentence adding a distinct fact (what it does, what to supply, how to follow up). No filler, though the follow-up sentence packs return-handling and polling together and could be split for scanning.

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?

For a complex, async, multi-template creation tool with an output schema present, the description covers the job lifecycle, the output packaging, and the idempotency contract, so an agent can call it and handle the result. The remaining gap is the recipe itself and generatePreview, which is meaningful but not fatal since the schema enumerates them.

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 only 20%, so the description must carry the load, and it compensates for baseRevisionId ('explicit') and the idempotency key ('stable') and gestures at recipe bounds ('bounded template controls'). However it says nothing about the six templateId variants, the seed/color/detail fields, or the generatePreview default, leaving the largest parameter effectively unexplained beyond the raw schema.

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?

The description states a specific verb and resource ('Author a procedural plant with ngPlant') and adds a scoping constraint ('in an empty ngplant project'), which implicitly distinguishes it from vegetation_edit. It does not name any sibling explicitly, so an agent must infer the create-vs-edit split, but the purpose itself is unambiguous.

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?

It supplies a real usage condition ('empty ngplant project') and a post-call workflow ('poll job_get/job_wait and use vegetation_inspect after commit'), which tells the agent how the tool fits between siblings. It stops short of naming when to prefer vegetation_edit or the alternatives, so no explicit exclusions are given.

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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