Skip to main content
Glama
CSOAI-ORG

vector-knowledge-graph-mcp

add_node

Add a node to a vector knowledge graph with properties, embeddings, and metadata to enable semantic search and relationship queries.

Instructions

Add a node to the knowledge graph with properties, embeddings, and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYes
propertiesYes
node_idNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, description carries full burden but only states basic action. No mention of side effects, idempotency, required permissions, or error conditions.

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?

Single sentence is concise, but lacks structure (e.g., no bullet points, no parameter descriptions). Could be expanded without becoming verbose.

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?

Despite having output schema and nested objects, description omits return value details, parameter interactions, and usage context. Significant gaps remain.

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

Parameters2/5

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

Schema coverage is 0%, yet description only adds vague references to embeddings and metadata. It fails to explain api_key, node_id, or the properties object structure. Parameters remain largely undocumented.

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?

Description clearly states it adds a node to the knowledge graph, specifying included elements (properties, embeddings, metadata). This verb-resource pair distinguishes it 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 Guidelines1/5

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 (e.g., semantic_node_search for querying, trace_compliance_chain for traversing). No preconditions or exclusions mentioned.

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/CSOAI-ORG/vector-knowledge-graph-mcp'

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