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HefnySco

MCP Notes

by HefnySco

create_relations

Add multiple new relations between entities in a knowledge graph, specifying source, target, and relation type in active voice.

Instructions

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
relationsYes
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 only states 'create multiple new relations' but does not disclose behavioral traits like idempotency, permissions, error handling, or what happens if a relation already exists. The description reveals minimal behavioral context.

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?

Two sentences, concise and front-loaded. Every sentence adds value, no wasted words.

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 tool's simplicity (1 parameter, no output schema, no annotations), the description is minimal. It does not explain return values, error conditions, or usage context for creating relations in a knowledge graph, leaving the agent underinformed.

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%, so the description must compensate. It entirely fails to discuss the 'relations' parameter or its sub-properties, adding no meaning beyond what the input schema provides. This is a critical gap.

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?

Description states verb 'create' and resource 'relations', specifying 'multiple new relations between entities in the knowledge graph' and adding a usage note about active voice. This clearly identifies the tool's purpose and distinguishes it from sibling tools like create_entities or delete_relations, though it could be more specific about the nature of relations.

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 on when to use this tool versus alternatives like add_observations or create_entities. The description does not provide context for appropriate usage, such as prerequisites or when not to use it.

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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