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KG Add Entity

localnest_kg_add_entity
Idempotent

Create or update an entity in the knowledge graph with auto-generated normalized slug IDs.

Instructions

Create or update an entity in the knowledge graph. Entity IDs are auto-generated as normalized slugs (lowercase, underscored).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
typeNoconcept
propertiesNo
memory_idNo
terseNoverbose
response_formatNojson

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
Behavior3/5

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

Annotations already indicate idempotent, non-destructive write. The description adds that IDs are auto-generated slugs, but fails to clarify update behavior (upsert vs replace) 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.

Conciseness4/5

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

The description is concise at two sentences, front-loading the purpose. However, it could be more structured to include parameter details without being 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 6 parameters, enums, nested objects, and an output schema, the description provides minimal context. Essential details about parameters and update semantics are missing.

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

Parameters1/5

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

With 0% schema description coverage, the description adds almost no parameter info. Only the name-to-ID relationship is hinted; type, properties, memory_id, terse, and response_format are unexplained.

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 or updates an entity in the knowledge graph, distinguishing it from siblings like kg_add_triple or batch variants. The mention of auto-generated IDs adds specificity.

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 is provided on when to use this tool versus alternatives like kg_add_entities_batch, kg_add_triple, or other update tools. The description does not mention prerequisites or exclusions.

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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