Skip to main content
Glama
Modellix

Modellix Agent Canvas

Official
by Modellix

Open Modellix Agent Canvas

open_modellix_canvas
Read-onlyIdempotent

Open a workspace-bound canvas for visual AI tasks. Compatible MCP hosts receive an embedded app or a short-lived loopback URL.

Instructions

Open the workspace-bound Canvas. MCP Apps hosts receive the embedded app; other compatible MCP hosts receive a short-lived loopback URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageIdNo
workspacePathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
modeNo
errorNo
pageIdNo
widgetNo
localUrlNo
workspaceIdNo
preferredDisplayModeNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, covering safety expectations. The description adds valuable behavioral context about host-specific outputs (embedded app vs. loopback URL) and the workspace-bound scope, which goes beyond the annotations. It does not detail potential side effects, but none are expected for a read-only, idempotent operation.

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 extremely concise—two sentences that front-load the primary action and then clarify host-specific behavior. Every sentence adds value with no redundancy or filler.

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

Completeness3/5

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

Given the tool's simplicity and the presence of annotations plus an output schema, the description provides adequate high-level context (host-specific output behavior). However, it omits parameter semantics and does not clarify how 'open' translates to a user action in each host context, leaving some gaps for an agent to fully invoke it 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 0%, and the description does not explain the two parameters (pageId, workspacePath) or how they affect behavior. The phrase 'workspace-bound' hints at workspacePath, but this is insufficient. With two parameters and no schema descriptions, the description fails to compensate, leaving parameter semantics largely ambiguous.

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 clearly states the tool's function: 'Open the workspace-bound Canvas.' It uses a specific verb ('open') and resource ('Canvas'), and distinguishes itself from siblings like get_canvas_project or save_canvas_page by focusing on launching/displaying the canvas rather than managing its contents or metadata.

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

Usage Guidelines3/5

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

The description implies usage context ('Open the workspace-bound Canvas') but does not explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. However, the host-specific behavior hints at when it applies, giving some implicit guidance.

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/Modellix/modellix-agent-canvas'

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