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Aadi775
by Aadi775

batch_add_concepts

Batch add multiple concepts with titles, content, and optional tags to a graph-powered memory system, enabling persistent semantic recall for AI agents.

Instructions

Add multiple concepts at once.

Each concept dict should have: title, content, and optionally tags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptsYesList of concept dicts with title, content, tags
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, and the description only states the action and input requirements. It lacks disclosure of behaviors such as error handling, idempotency, limits, or side effects, which is important for a batch operation.

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?

The description is extremely concise, consisting of two short sentences that deliver the essential information without any superfluous text.

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

Completeness3/5

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

For a simple batch add tool, the description provides the necessary input details. However, missing output schema details (though present) and lack of behavioral context make it somewhat incomplete for a comprehensive understanding.

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

Parameters3/5

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

The description partially repeats the schema's description for the 'concepts' parameter but does not add new semantic information. The 'actor_context' parameter is not described in the tool description, and schema coverage is 50%, so the description does not fully compensate.

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

Purpose5/5

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

The description clearly states 'Add multiple concepts at once,' specifying the action (add) and resource (concepts). This distinguishes it from the sibling 'add_concept' which adds a single concept.

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

Usage Guidelines3/5

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

The description mentions required fields for each concept dict but does not provide explicit guidance on when to use this tool versus alternatives like 'add_concept' or other batch operations. Usage context is implied but not stated.

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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