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HalidSaglam

saglitzdesign-mcp

by HalidSaglam

get_design_doc

Fetch a design or marketing knowledge document by its ID to access curated guidance on UI/UX, copywriting, SEO, and more.

Instructions

Fetch one knowledge-base document in full by its id (ids come from list_design_knowledge or search results).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDocument id, e.g. 'buttons', 'material-3', 'geo-tactics-checklist'
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 states the tool fetches a document 'in full', implying a read operation with no side effects. However, it does not explicitly confirm idempotency or mention any access restrictions.

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?

A single, well-structured sentence that front-loads the verb and resource, providing all necessary information without redundancy.

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 fetch tool with one parameter and no output schema, the description is comprehensive enough. It explains the input source and the full return. No critical gaps are apparent given the tool's simplicity.

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

Parameters4/5

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

The schema has 100% coverage with a description for the 'id' parameter. The tool description adds value beyond the schema by explaining where valid ids come from, which helps ensure correct invocation.

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 specifies the action ('Fetch'), resource ('knowledge-base document'), and retrieval method ('by its id'). It also mentions the source of ids, distinguishing it from list/search siblings.

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?

The description tells users where to obtain ids ('list_design_knowledge or search results'), providing clear context for when to use this tool. While it doesn't explicitly exclude alternatives, the context is sufficient for an agent to choose correctly.

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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