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danielsimonjr

Enhanced Knowledge Graph Memory Server

create_entities

Add multiple entities to a knowledge graph by specifying names, types, and observations for structured data storage and relationship mapping.

Instructions

Create multiple new entities in the knowledge graph

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitiesYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it creates entities but doesn't disclose behavioral traits like whether this is an idempotent operation, what permissions are required, how duplicates are handled, what happens on partial failure, or what the return value contains. 'Create multiple' implies batch processing but lacks details on limits or atomicity.

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?

The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it immediately understandable. Every word earns its place by conveying essential information without redundancy.

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 the complexity of a batch creation operation with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't address error handling, response format, or operational constraints. For a tool that modifies the knowledge graph state, more contextual information is needed for safe and effective use.

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 description coverage is 0%, so the description must compensate. It mentions 'entities' but provides no semantic context about what constitutes an entity, the expected structure, or valid entity types. The description doesn't explain the 'entities' array parameter beyond restating the tool name, leaving the agent to rely solely on the schema's technical specification.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create multiple new entities') and the target resource ('in the knowledge graph'), which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'create_relations' or 'merge_entities', which also involve creation operations in the same knowledge graph context.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, compare with single-entity creation tools (if any exist), or specify scenarios where batch creation is preferred over individual operations. The agent must infer usage from the tool name alone.

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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