Skip to main content
Glama
AccelByte

AccelByte Unity MCP Server

Official
by AccelByte

unity_ui_list_entry_candidates

Reports approved prefab candidates from the Unity project to populate list or collection rows generated by the MCP server.

Instructions

Report approved project prefab candidates for generated list or collection rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
screenNo
featureNo
itemViewNo
item_viewNo
projectPathYesUnity project root.
Behavior2/5

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

With no annotations, the description carries the full burden but only says 'Report'. It does not disclose whether this is read-only, what 'approved' means, any side effects, authentication needs, or how results are returned.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks detail. It could be expanded to include more context without becoming verbose.

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

Completeness2/5

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

Given no annotations, no output schema, and limited parameter documentation, the description is incomplete. It does not explain what candidates are, how to interpret results, or the role of each parameter, making it hard for an AI to use correctly.

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

Parameters2/5

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

Schema description coverage is only 20% (projectPath has a description). The description does not add meaning for the four undocumented parameters (screen, feature, itemView, item_view), leaving the agent without guidance on how to use them.

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 'Report' and a clear resource 'approved project prefab candidates' for a specific context (generated list or collection rows), which distinguishes it from sibling tools like unity_ui_generate or unity_ui_patch.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, no prerequisites or exclusions are mentioned. The description simply states what it does without context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AccelByte/accelbyte-unity-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server