Skip to main content
Glama

cavalry_set_attribute

Set one or more attributes on a Cavalry layer using dot-notation paths like position.x, fontSize, or fill.color. Update layer properties directly for precise control.

Instructions

Set one or more attributes on a Cavalry layer. Attributes use dot-notation paths, e.g. "position.x", "fontSize", "fill.color".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
layerIdYesThe layer ID (e.g. from create_layer)
attributesYesKey-value map of attribute paths to values, e.g. {"fontSize": 48, "position.x": 100}
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the dot-notation path syntax and gives examples, which is useful, but it does not disclose side effects such as whether changes are persistent, expected return behavior, or error handling for invalid paths.

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 two sentences with the main action forward-loaded and a concrete example. No filler or repetition, making it appropriately concise.

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?

For a two-parameter setter with full schema coverage, the description and schema together give enough context to use the tool. It lacks guidance on alternatives and expected return behavior, but these are not critical for a basic set operation.

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?

The input schema already provides detailed descriptions and examples for both parameters ('layerId' and 'attributes'). The description adds the dot-notation concept but largely echoes the schema, providing minimal additional meaning beyond it.

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 sets one or more attributes on a Cavalry layer, a specific verb+resource. It distinguishes from siblings like get_attribute by focusing on setting, and provides dot-notation path examples that clarify the scope.

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?

No explicit guidance is given about when to use this tool versus alternatives like keyframe or set_generator. The purpose is clear, but usage context is implied rather than stated.

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/kacperchlebowicz/Cavalry-mcp'

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