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j3k0

Elasticsearch Knowledge Graph for MCP

by j3k0

create_entities

Add entities to a knowledge graph memory zone, including names, types, and observations, to enhance data storage and retrieval in Elasticsearch-based AI systems.

Instructions

Create entities in knowledge graph (memory)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitiesYesList of entities to create
memory_zoneYesMemory zone to create entities in.
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action without behavioral details. It doesn't disclose permissions needed, whether creation is idempotent, error handling, or rate limits, which are critical for a write operation in a knowledge graph system.

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 no wasted words, clearly front-loading the core action. It's appropriately sized for the tool's complexity, making it easy to parse quickly.

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 write operation in a knowledge graph with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, error cases, or return values, leaving significant gaps for an agent to operate effectively.

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 100%, so the schema already documents both parameters ('entities' and 'memory_zone') thoroughly. The description adds no additional meaning beyond the schema, such as explaining what a 'memory_zone' represents or constraints on entity creation, meeting the baseline for high schema coverage.

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') and resource ('entities in knowledge graph (memory)'), making the purpose understandable. However, it doesn't differentiate from siblings like 'update_entities' or 'add_observations', which would require specifying this is for initial creation only.

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. For example, it doesn't mention whether to use 'update_entities' for modifying existing entities or 'add_observations' for adding observations to existing entities, leaving the agent without context for tool selection.

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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