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henrychong-ai

Neo4j Knowledge Graph MCP Server

add_observations

Add new observations to existing graph entities, enriching knowledge with content, strength, confidence, and metadata.

Instructions

Add new observations to existing entities in your knowledge graph

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observationsYes
strengthNoDefault strength value (0.0 to 1.0) for all observations
confidenceNoDefault confidence level (0.0 to 1.0) for all observations
metadataNoDefault metadata for all observations
Behavior2/5

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

No annotations provided, so description must fully disclose behavioral traits. It only states 'Add new observations' without specifying whether existing observations are overwritten, if duplicates are allowed, or any side effects (e.g., requiring entity existence). Lacks key mutation details.

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

Conciseness4/5

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

Single, clear sentence. It is concise but could include brief usage hints without sacrificing brevity.

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?

Without output schema and with many sibling tools, the description is minimal. Fails to explain what an observation is, how it relates to entities, or any constraints (e.g., limit on contents array size).

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 75% (high), so baseline is 3. The description adds little beyond the schema—just restates the tool's purpose. Does not clarify defaults or interaction between per-item and global parameters.

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 verb 'Add', resource 'observations', and target 'existing entities in your knowledge graph'. It effectively distinguishes from siblings like 'add_observations_batch' and other entity/relation tools.

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 the batch variant 'add_observations_batch'. No when-not-to-use or alternative suggestions provided.

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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