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playcanvas

PlayCanvas Editor MCP Server

Official
by playcanvas

get_selection

Read-only

Retrieve the current selection in the PlayCanvas editor, returning its type (entity, asset, or null) and corresponding IDs. Ideal for acting on selected items without listing all scene contents.

Instructions

Read the editor's current selection. Returns { type: "entity" | "asset" | null, ids: [...] }. Entity ids are resource_ids (strings); asset ids are numbers. When NOT to use: to list all entities/assets (use list_entities/list_assets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds valuable behavioral detail by specifying the return shape, the possible type values, and the ID type distinction between entity and asset IDs. This goes beyond what annotations alone communicate.

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 sentences with no filler: the action is first, return shape follows, and the exclusion with alternatives is stated crisply. Every sentence adds information an agent needs.

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?

For a zero-parameter read-only tool, the description is fully adequate. It explains the return shape, distinguishes entity vs asset IDs, and routes the agent away from listing tools. No critical information is missing for correct invocation.

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

Parameters4/5

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

The tool has zero parameters, so the parameter-semantics burden is minimal. The description adds relevant output semantics (return type and ID types) that help an agent understand what the tool will provide even without parameters.

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 uses a specific verb ('Read') and resource ('the editor's current selection'), and clearly distinguishes itself from list_entities/list_assets by stating what it is not for. This makes it easy to differentiate from sibling tools like set_selection and clear_selection.

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

Usage Guidelines5/5

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

The description explicitly provides a 'When NOT to use' section with named alternatives (list_entities/list_assets). This gives clear routing guidance for an agent deciding between selection-reading and entity/asset listing.

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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