create_entities
Adds new knowledge graph entities with names, types, and observations to the remote memory server for collaborative data management.
Instructions
새로운 엔티티들을 생성합니다
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entities | Yes |
Adds new knowledge graph entities with names, types, and observations to the remote memory server for collaborative data management.
새로운 엔티티들을 생성합니다
| Name | Required | Description | Default |
|---|---|---|---|
| entities | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states that it creates entities, offering no information about permissions required, whether the operation is idempotent, what happens on failure, rate limits, or the response format. For a creation tool with zero annotation coverage, this leaves critical behavioral traits completely undocumented.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, straightforward sentence in Korean that directly states the tool's action. There's no unnecessary verbiage or structural complexity—it's maximally concise. However, this conciseness comes at the cost of completeness, as noted in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a creation operation with nested array parameters), lack of annotations, 0% schema description coverage, and no output schema, the description is severely incomplete. It doesn't address what the tool returns, error conditions, side effects, or how it integrates with the broader system (e.g., sibling tools). For a tool with these characteristics, the description provides inadequate context for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 1 parameter ('entities') with 0% description coverage, meaning the schema provides no semantic information. The description adds no parameter details beyond implying creation of entities. It doesn't explain what 'entities' are, what 'name', 'entityType', or 'observations' represent, or provide examples. With low schema coverage, the description fails to compensate, leaving parameters largely meaningless.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description '새로운 엔티티들을 생성합니다' (Creates new entities) is a tautology that essentially restates the tool name 'create_entities' in Korean. It doesn't specify what kind of entities, what system they're created in, or how they differ from similar operations in sibling tools like 'create_relations' or 'create_backup'. The purpose is stated but lacks differentiation and specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. There's no mention of prerequisites, appropriate contexts, or comparisons to sibling tools such as 'add_observations' (which might add to existing entities) or 'create_relations' (which might create connections between entities). Without any usage context, an agent cannot make informed decisions about 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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