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HalidSaglam

saglitzdesign-mcp

by HalidSaglam

list_design_knowledge

List all design and marketing knowledge documents, filtered by category or platform, to see available expertise on UI/UX, SEO, GEO, and patterns.

Instructions

List every document in the SaglitzDesign knowledge base (design languages, UI components, UX, SEO, GEO, real-world patterns). Use this first to see what expertise is available, then fetch docs with get_design_doc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoFilter by category
platformNoFilter by platform (docs marked 'both' always included)
Behavior2/5

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

No annotations provided, so description carries full burden. It implies a read-only list operation but does not disclose pagination, authorization, or any side effects.

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?

Two concise sentences, front-loaded with purpose and usage instruction. No unnecessary words.

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 simple list tool with optional filters and no output schema, the description provides sufficient context: what is listed, and how to proceed to retrieve documents. Missing details on return format or pagination are minor.

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 coverage is 100% with parameter descriptions in schema. The description adds no extra meaning beyond the schema, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists documents in a knowledge base with specified content types. It mentions a sibling tool for fetching but does not explicitly differentiate from 'search_design_knowledge'.

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?

Provides explicit usage order: 'Use this first to see what expertise is available, then fetch docs with get_design_doc.' Lacks 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.

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