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Create relations between entities

create_relations

Create typed relationships between entities to map connections and establish contextual links within persistent knowledge graph storage.

Instructions

Create relations between entities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
relationsYes
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but provides none. It omits idempotency, error handling (e.g., duplicate relations), side effects, and return values.

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

Conciseness2/5

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

While brief (4 words), this represents under-specification rather than efficient conciseness. As with the calibration example 'Process', brevity here signals inadequacy, not clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Completely inadequate for a tool with nested object parameters and no output schema. Missing essential context: whether entities must exist first, valid relation types, and what the operation returns.

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?

Schema description coverage is 0%, and the description fails to compensate. It does not explain the 'relations' array structure or the semantics of 'source', 'target', and 'type' fields, leaving critical parameters undocumented.

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

Purpose2/5

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

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this tool versus alternatives (e.g., 'create_entities'), prerequisites (whether source/target entities must exist), or expected workflow. The description offers zero usage context.

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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