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zcsabbagh

Knowledge Graph MCP Server

by zcsabbagh

add_node

Add a concept node to the knowledge graph with custom name, domain, difficulty, tags, and description.

Instructions

Create a new concept node in the knowledge graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesHuman-readable name for the concept (e.g., "Quadratic Formula")
descriptionNoDetailed description of what this concept represents
domainNoCategory/domain (e.g., "mathematics", "physics", "programming")
difficultyNoEstimated cognitive load from 0.0 (easy) to 1.0 (hard). Default 0.5.
tagsNoList of categorization tags (e.g., ["algebra", "equations"])
node_idNoCustom ID for the node. Auto-generated from concept if not provided.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description must disclose behaviors. It mentions creation but no details about idempotency, duplicate handling, required permissions, or side effects. The return value is not described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, which is efficient but lacks structure. It does not expand on important details, making it too minimal.

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

Completeness2/5

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

Given 6 parameters and a rich schema, the description only states the core function. It omits explanation of output, parameter semantics, and usage context, leaving gaps for the agent.

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?

All 6 parameters are documented in the schema with descriptions, achieving 100% coverage. The description adds no additional parameter context beyond what the schema provides.

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 creates a new concept node in the knowledge graph, using a specific verb and resource. It distinguishes itself from siblings like add_edge.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like update_node or add_edge. No context about prerequisites or scenarios for use.

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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