Get Palette Tool
get_paletteGet one color palette by id: its colors (hex), name/derived title, mood, harmony, temperature and tags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Palette id. |
get_paletteGet one color palette by id: its colors (hex), name/derived title, mood, harmony, temperature and tags.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Palette id. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, covering safety. The description adds useful behavior: it discloses the specific palette attributes returned, including the nuance of 'name/derived title' (a fallback naming behavior). This exceeds annotation context and explains what the tool yields.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with actionable verb ('Get'), clear resource ('one color palette by id'), and a compact list of returned fields. Every word earns its place with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple get-by-id tool with one parameter and no output schema, the description adequately covers the return contract by listing all palette attributes (colors, name/derived title, mood, harmony, temperature, tags). This compensates for the absent output schema and makes the tool self-explanatory.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already fully documents the only parameter `id` with a description, achieving 100% schema coverage. The description adds no semantic detail beyond referencing retrieval by id, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states it gets one palette by ID and enumerates the exact returned fields (colors hex, name/derived title, mood, harmony, temperature, tags), making its specific purpose clear and distinct from sibling tools like search_palettes (which finds palettes) and get_color_shades (which works from a color).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage context is implied: use when you have a specific palette ID and need its full details. However, it does not explicitly contrast with search_palettes or state when not to use this tool, leaving the agent to infer the distinction from the phrase 'by id'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct operation within the color, font, or code utility domains. Descriptions clearly differentiate retrieval, search, and action tools, so an agent can reliably select the right one without ambiguity.
All names use snake_case and are readable, but there's a mix of direct verb_noun patterns (check_contrast, extract_colors) and a get_ prefix for retrieval tools (get_font, get_palette). The inconsistency is minor and the pattern remains predictable overall.
15 tools is at the upper end of the well-scoped range, but each tool serves a clear, distinct purpose across three focused domains (fonts, colors, code). No tool feels redundant or unnecessary for the server's mission.
The server provides a comprehensive lifecycle for its domains: font search, metadata, file access, CSS generation, and image recognition; color extraction, naming, shading, contrast checking, and palette search; and code detection, conversion, and minification. No obvious gaps exist.