geonodes_preset_scatter

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

With no annotations, the description must fully disclose behavior. It states it creates a geo-nodes setup but does not mention whether it modifies the existing modifier stack, if it is destructive, or what the return value is. These gaps hinder safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear paragraph and parameter list. No filler words. However, the phrase 'Apply a preset:' may be slightly redundant given the tool name. Overall efficient.

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

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

Given the lack of output schema and annotations, the description does not explain the return value or side effects (e.g., does it modify the object in place? Does it return a success message?). This leaves the agent uncertain about the tool's aftermath.

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

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

The schema has 0% coverage, so the description's Args section adds critical meaning: object_name as surface, instance_type with examples (SPHERE, CUBE, CONE, custom), density as points per unit area, scale, and seed. This compensates well for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Apply a preset: scatter instances on a surface' and explains it creates a complete geo-nodes setup for distributing point instances. This verb+resource combo is specific and distinguishes from siblings like add_particles or distribute_objects.

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

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

The description provides no explicit guidance on when to use this tool versus alternatives (e.g., add_particles, distribute_objects). No prerequisites or exclusions are mentioned, so an AI agent lacks context to choose between similar tools.

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