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create_entity

Create a new entity or update an existing one in a knowledge graph by specifying name, type, project, and optional observations or properties.

Instructions

Create or update a knowledge entity in the graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
projectYes
propertiesNo
entity_typeYes
observationsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description must disclose behavioral traits. It only states 'create or update' without mentioning permissions, side effects, return format, or error conditions. The output schema exists but is not referenced.

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?

The description is a single sentence, but it is under-specified and fails to provide necessary details to justify its brevity. Conciseness is valuable only when information is complete enough.

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 the tool (5 parameters, mutation behavior, output schema), the description is very incomplete. It lacks parameter explanations, usage context, and behavioral notes, making it barely adequate even with the output schema.

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 adds no explanation for any of the five parameters (name, project, properties, entity_type, observations). Parameter names are only vaguely self-explanatory, leaving significant ambiguity.

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 or update') and the resource ('a knowledge entity in the graph'). However, it does not distinguish itself from sibling tools like 'add_observations' or 'create_relationship', leaving ambiguity about when to use this tool versus alternatives.

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 usage guidelines are provided. The description does not indicate when to create versus update, or specify prerequisites or contexts where this tool is appropriate versus using other tools.

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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