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robertobendi

WazziCode Godot

by robertobendi

resource_manage

Search, inspect, assign, and create Godot resources, including curves, environments, physics shapes, gradient and noise textures.

Instructions

Resource (asset) search, inspection, assignment, and creation. Covers generic Resource subclasses plus specialized authoring (Curve, Environment, physics shapes, gradient/noise textures).

Ops: • search(type="", path="", offset=0, limit=100) Search for resources by type or path. Type matching includes subclasses. At least one filter required. Paginated. • load(path) Inspect a .tres / .res — returns type and editor-visible properties. • assign(path, property, resource_path) Load and assign a resource to a node property. Undoable. • get_info(type) Introspect a Resource class — properties, parent, abstract flag, concrete_subclasses (for abstract bases). Read-only. • create(type, properties=None, path="", property="", resource_path="", overwrite=False) Instantiate a Resource subclass. Either path+property (assign to a node, undoable) or resource_path (save to .tres). For specific families (Curve, Environment, etc.) prefer the dedicated ops. • curve_set_points(points, path="", property="", resource_path="") Replace all points on a Curve / Curve2D / Curve3D. Auto-creates the curve resource if the slot is empty (curve_created flag). • environment_create(path="", preset="default", properties=None, sky=None, resource_path="", overwrite=False) Build Environment + Sky chain. Presets: default | clear | sunset | night | fog. sky may be bool or a procedural sky dict such as {"sky_material": "procedural", "sky_top_color": "#0f172a"}. Either assign to a WorldEnvironment node or save .tres. • physics_shape_autofit(path, source_path="", shape_type="") Size a CollisionShape2D/3D to a nearby visual's bounds. Searches direct siblings then parent-siblings (handles nested Body→Collision layouts). Ambiguous matches return candidate paths in error.data.candidates. Auto-creates the concrete Shape subclass if needed. shape_type accepts either the short form ("box", "sphere", "capsule", "cylinder" for 3D; "rectangle", "circle", "capsule" for 2D) or the matching Godot class name ("BoxShape3D", "RectangleShape2D", etc.). • gradient_texture_create(stops, width=256, height=1, fill="linear", path="", property="", resource_path="", overwrite=False) Build GradientTexture2D from color stops. fill: linear | radial | square. • noise_texture_create(noise_type="simplex_smooth", width=512, height=512, frequency=0.01, seed=0, fractal_octaves=0, path="", property="", resource_path="", overwrite=False) Build NoiseTexture2D wrapping FastNoiseLite. Noise types: simplex | simplex_smooth | perlin | cellular | value | value_cubic.

Canonical call shape: {"op": "<verb>", "params": {...}}. Flat op parameters are accepted as a compatibility alias when the client transmits them; op and session_id remain top-level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opYes
paramsNo
session_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses key behaviors: assign is 'Undoable', get_info is 'Read-only', physics_shape_autofit 'Auto-creates the concrete Shape subclass if needed', and search is 'Paginated'. It also explains the canonical call shape and compatibility alias. However, it omits failure modes or permission requirements, so not a 5.

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 long but efficiently structured as a bulleted op list with inline parameter details. Every operation earns its place given the tool's polymorphic nature. The summary line and 'Canonical call shape' note are valuable without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the complexity (10 ops, many parameters), the description covers each operation's purpose, parameters, and key edge cases (e.g., autofit candidates in error.data.candidates, curve_created flag). It includes an output schema (though not shown) and canonical call format, making it sufficiently complete for an agent to invoke correctly.

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

Parameters5/5

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

The input schema has a generic 'params' object with no field details, so the description is the only source of parameter semantics. It meticulously documents each op's parameters, defaults, enums (e.g., fill: 'linear | radial | square', noise types, presets, shape_type short forms). This fully compensates for the 0% schema coverage.

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 starts with a clear verb+resource statement: 'Resource (asset) search, inspection, assignment, and creation.' It then lists 10 distinct operations, each with a specific verb and scope. This clearly distinguishes it from sibling management tools like node_manage or scene_manage.

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?

Provides clear context for usage: 'Covers generic Resource subclasses plus specialized authoring' and specifically notes 'For specific families (Curve, Environment, etc.) prefer the dedicated ops.' This gives guidance on choosing internal ops, though it does not explicitly exclude external sibling tools, making it one point short of explicit 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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