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Aadi775
by Aadi775

add_concept

Add a new concept to the knowledge graph with a title, content, and optional tags for categorization.

Instructions

Add a new concept to the knowledge graph.

Concepts are semantic knowledge entries that can be linked to sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesShort title for the concept
contentYesDetailed explanation of the concept
tagsNoList of tags for categorization
actor_contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must compensate. It only states the tool adds a concept, but does not disclose behavioral traits like idempotency, duplicate handling, permissions, or side effects.

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, no redundant information. The main action is in the first sentence, and a definition follows. Efficient and front-loaded.

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 no annotations and a creation tool with siblings, the description should provide more behavioral and usage context. The output schema exists but doesn't mitigate the lack of operational details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no additional meaning to the parameters beyond the schema. Schema coverage is 75% (actor_context lacks description), but the description does not compensate for that 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?

The description clearly states the tool adds a concept to the knowledge graph and defines what a concept is. However, it does not explicitly differentiate from sibling add tools like add_tag_to_concept or batch_add_concepts, but the target resource is distinct enough.

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 (e.g., add_tag_to_concept, batch_add_concepts). No preconditions or context for usage are provided.

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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