Skip to main content
Glama

Scene Snapshot

scene_snapshot
Read-onlyIdempotent

Get a complete spatial overview of the current Maya scene, listing all objects with positions, sizes, and types to establish spatial awareness before workflows.

Instructions

Get a complete spatial overview of the current Maya scene.

Returns a structured description of ALL objects with positions, sizes, and types. Call this once at the start of each workflow to establish spatial awareness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNoDetail level - "compact" (fast), "standard" (+materials/mesh stats), "full" (+vertices).compact
formatNoOutput format - "cos" (Chain-of-Symbol, compact), "json" (full JSON).cos
session_keyNoMaya session key (auto-selected if only one session).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.1

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive, so safety is covered. The description adds genuinely useful context beyond them: it returns ALL objects with positions/sizes/types and should be called once per workflow, which tells the agent about output breadth and the cost of repeated calls.

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?

Three short sentences, front-loaded with the core verb+resource, then return contents, then invocation cadence. No filler or redundancy.

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?

With an output schema present, the description needn't enumerate return fields and it correctly gives breadth and cadence guidance instead. Only minor gaps remain, such as noting multi-session behavior when session_key is omitted.

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 coverage is 100% and all three parameters carry their own descriptions (detail levels, format options, session key auto-selection). The description adds no parameter syntax or format guidance, so the baseline 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 and resource ('Get a complete spatial overview of the current Maya scene') and enumerates the returned content (positions, sizes, types). It is distinguishable in spirit from siblings like scene_nodes or scene_viewport_snapshot, but never names an alternative to sharpen the boundary.

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?

'Call this once at the start of each workflow to establish spatial awareness' gives a clear invocation context and frequency. It stops short of stating when not to use it or which sibling to prefer for narrower queries.

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