Skip to main content
Glama

Diff Presets

diff_presets
Read-onlyIdempotent

Compare two UI presets to identify differences in tokens, components, or layouts, helping developers understand changes between base and override configurations.

Instructions

Compare two presets and return what changed between them. Useful for understanding what a client override changes vs the base.

Args:

  • preset_a (string): First preset ID

  • preset_b (string): Second preset ID

  • scope ('tokens' | 'components' | 'layouts' | 'all'): What to compare (default: 'all')

Returns: Object with added, removed, and changed keys with before/after values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
preset_aYesFirst preset ID
preset_bYesSecond preset ID
scopeNoWhat to compareall
Behavior4/5

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

The description adds useful context beyond annotations: it explains the tool's purpose in understanding client overrides. Annotations already cover safety (readOnlyHint=true, destructiveHint=false) and idempotency, so the bar is lower. The description doesn't contradict annotations and adds practical application context.

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 front-loaded with the core purpose in the first sentence, followed by usage guidance and parameter/return details. Every sentence earns its place with no wasted words, making it efficient and well-structured.

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

Completeness5/5

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

For a read-only comparison tool with full schema coverage and clear annotations, the description is complete. It explains the purpose, usage context, parameters, and return structure. No output schema exists, but the description adequately describes the return format with added/removed/changed keys.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal extra semantics (e.g., 'what to compare' for scope), but doesn't provide significant value beyond the schema. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('compare two presets'), the resource ('presets'), and the outcome ('return what changed between them'). It distinguishes this tool from siblings like 'list_presets' or 'load_preset' by focusing on comparison rather than listing or loading.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool: 'Useful for understanding what a client override changes vs the base.' This provides clear context for usage (comparing overrides vs base) and implicitly distinguishes it from siblings that don't involve comparison.

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/ncsound919/OG-Glass'

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