Skip to main content
Glama

configure_viewer

Set camera, dimensions, and grid settings for a napari viewer. Use optional parameters to adjust any combination in a single call.

Instructions

Configure viewer display: camera, dimensions, and grid.

All parameters are optional — set any combination in one call.

Parameters

reset_view : bool, default False If True, reset the camera to fit all data. center : list[float], optional Camera center position. zoom : float, optional Camera zoom factor (must be > 0). angles : list[float], optional Camera angles as [azimuth, elevation, roll] in degrees. ndisplay : int, optional Number of displayed dimensions (2 or 3). dims_axis : int, optional Axis index for slider position (use with dims_value). dims_value : int, optional Step value for the given axis. grid : bool, optional Enable or disable grid view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reset_viewNo
centerNo
zoomNo
anglesNo
ndisplayNo
dims_axisNo
dims_valueNo
gridNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description bears full burden. It explains each parameter's effect (e.g., reset_view resets camera to fit data, zoom must be >0). Does not disclose persistence or side effects, but is fairly transparent.

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?

Concise: one-line header, note on optionality, then structured list of parameters. Every sentence is useful and front-loaded with purpose.

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?

Covers all parameters well. Output schema exists, so no need for return value details. Missing context about which viewer is affected (likely active viewer), but otherwise complete.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by detailing all 8 parameters with types, defaults, and meanings. Adds significant value beyond raw schema.

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?

Description clearly states 'Configure viewer display: camera, dimensions, and grid.' It uses a specific verb-resource pair and distinguishes from siblings like init_viewer or add_layer.

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?

Explicitly notes that all parameters are optional and can be set in one call. Provides clear usage context but does not mention when not to use or alternatives.

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/royerlab/napari-mcp'

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